diff --git a/CMakeLists.txt b/CMakeLists.txt
index 3f3053d..4afa5ec 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -5,211 +5,32 @@ SET(CMAKE_MODULE_PATH "${CMAKE_CURRENT_SOURCE_DIR}/Modules")
 
 PROJECT(SPAGeDi)
 SET(SPAGEDI_NAME "SPAGeDi")
-SET(SPAGEDI_VERSION "1.4b-CUSTOM") # Default Version Number
+SET(SPAGEDI_VERSION "1.5d") # Default Version Number
+SET(SPAGEDI_VERSION_MAJOR "1")
+SET(SPAGEDI_VERSION_MINOR "5")
 
-# Automatic Version Numbers
-FIND_PACKAGE(Git)
+SET(SPAGEDI_DIR "spagedi-${SPAGEDI_VERSION_MAJOR}.${SPAGEDI_VERSION_MINOR}")
 
-INCLUDE("${CMAKE_SOURCE_DIR}/src/spagedi_version.h.pkg" OPTIONAL
-	RESULT_VARIABLE VERSION_FOUND)
-
-IF(VERSION_FOUND)
-	SET(SPAGEDI_VERSION "${PACKAGE_VERSION}")
-ELSEIF(SPAGEDI_VERSION_GIT)
-	SET(SPAGEDI_VERSION "${SPAGEDI_VERSION_GIT}")
-ELSEIF(GIT_FOUND)
-	EXECUTE_PROCESS(
-	     COMMAND ${GIT_EXECUTABLE} describe --tags --dirty
-	     RESULT_VARIABLE GIT_RESULT
-	     OUTPUT_VARIABLE PKG_VERSION
-	     OUTPUT_STRIP_TRAILING_WHITESPACE
-	     ERROR_QUIET
-	)
-	IF(GIT_RESULT EQUAL 0)
-		SET(SPAGEDI_VERSION "${PKG_VERSION}")
-	ENDIF()
-ENDIF()
-
-IF(SPAGEDI_VERSION MATCHES "([0-9]+)\\.([0-9]+)([a-z]+)-?(.*)")
-	SET(SPAGEDI_VERSION_MAJOR ${CMAKE_MATCH_1})
-	SET(SPAGEDI_VERSION_MINOR ${CMAKE_MATCH_2})
-	SET(SPAGEDI_VERSION_PATCH ${CMAKE_MATCH_3})
-	SET(SPAGEDI_VERSION_BUILD ${CMAKE_MATCH_4})
-	SET(SPAGEDI_VERSION_MAIN "${SPAGEDI_VERSION_MAJOR}.${SPAGEDI_VERSION_MINOR}${SPAGEDI_VERSION_PATCH}")
-	
-	SET(LETTERS a b c d e f g h i j k l m n o p q r s t u v w x y z)
-	LIST(FIND LETTERS ${SPAGEDI_VERSION_PATCH} SPAGEDI_VERSION_PATCH_NUM)
-	SET(SPAGEDI_VERSION_NUMBERED "${SPAGEDI_VERSION_MAJOR}.${SPAGEDI_VERSION_MINOR}.${SPAGEDI_VERSION_PATCH_NUM}.0")
-ENDIF()
-
-IF(WIN32 AND NOT UNIX)
-  SET(SPAGEDI_DIR)
-ELSEIF(APPLE_BUNDLE)
-  SET(SPAGEDI_DIR)
-ELSE(WIN32 AND NOT UNIX)
-  SET(CMAKE_INSTALL_DIR_VERSION_DEFAULT "${SPAGEDI_VERSION_MAJOR}.${SPAGEDI_VERSION_MINOR}")
-  SET(SPAGEDI_DIR "/spagedi-\${CMAKE_INSTALL_DIR_VERSION}")
-ENDIF(WIN32 AND NOT UNIX)
-
-SET(CMAKE_DATA_DIR "share${SPAGEDI_DIR}" CACHE STRING
+SET(CMAKE_DATA_DIR "share/${SPAGEDI_DIR}" CACHE STRING
   "Install location for data (relative to prefix).")
-SET(CMAKE_DOC_DIR "doc${SPAGEDI_DIR}" CACHE STRING
+SET(CMAKE_DOC_DIR "doc/${SPAGEDI_DIR}" CACHE STRING
   "Install location for documentation (relative to prefix).")
 SET(CMAKE_MAN_DIR "man" CACHE STRING
   "Install location for man pages (relative to prefix).")
 MARK_AS_ADVANCED(CMAKE_DATA_DIR CMAKE_DOC_DIR CMAKE_MAN_DIR)
 
-SET(CPACK_SOURCE_IGNORE_FILES
-  "/CVS/" /\\\\\\\\.bzr/;/\\\\\\\\.hg/;/\\\\\\\\.git/;\\\\\\\\.swp$;\\\\\\\\.#;/#"
-  "/CVS/" "/\\\\.svn/" "/\\\\.bzr/" "/\\\\.hg/" "/\\\\.git/"  "\\\\.swp$"
-  "\\\\.#"  "/#"  ".*~$"
-  "/releng/" "/build/"
-  "spagedi\\\\.exe"  "spagedi$"
-  "/CMakeFiles/"  "CMakeCache\\\\.txt"
-  "CPack.*Config\\\\.cmake"  "cmake_install\\\\.cmake"
-  "install_manifest\\\\.txt$"
-  "_CPACK_PACKAGES"  "_CPack_Packages"
-  "\\\\.vcproj"  "\\\\.dir"  "\\\\.ncb$"  "\\\\.sln$"  "\\\\.suo$"
-  "Makefile$" "\\\\.ilk"  "\\\\.pdb"
-)
-
-SET(CPACK_INSTALL_SCRIPT "${CMAKE_SOURCE_DIR}/Modules/new_install.cmake")
-
-SET(CPACK_PACKAGE_INSTALL_DIRECTORY "${SPAGEDI_NAME}")
-SET(CPACK_PACKAGE_DESCRIPTION_SUMMARY "Spatial Pattern Analysis of Genetic Diversity")
-SET(CPACK_PACKAGE_VERSION ${SPAGEDI_VERSION})
-SET(CPACK_PACKAGE_VERSION_MAJOR ${SPAGEDI_VERSION_MAJOR})
-SET(CPACK_PACKAGE_VERSION_MINOR ${SPAGEDI_VERSION_MINOR})
-SET(CPACK_PACKAGE_VERSION_PATCH ${SPAGEDI_VERSION_PATCH})
-SET(CPACK_PACKAGE_VENDOR "OlivierHardy")
-SET(CPACK_PACKAGE_DESCRIPTION_FILE "${CMAKE_CURRENT_SOURCE_DIR}/readme.txt")
-SET(CPACK_RESOURCE_FILE_LICENSE "${CMAKE_CURRENT_SOURCE_DIR}/copying.txt")
-SET(CPACK_PACKAGE_EXECUTABLES "spagedi" "SPAGeDi")
-
-SET(CPACK_SOURCE_PACKAGE_FILE_NAME "${CMAKE_PROJECT_NAME}-${CPACK_PACKAGE_VERSION}")
-
-IF(NOT DEFINED CPACK_SYSTEM_NAME)
-	if(APPLE) # work around a bug in CMakeDetermineSystem.cmake
-		exec_program(uname ARGS -m OUTPUT_VARIABLE CPACK_SYSTEM_PROCESSOR RETURN_VAL val)
-		IF("${CMAKE_C_FLAGS}" MATCHES "[-]m32")
-			SET(CPACK_SYSTEM_PROCESSOR i386)
-		ELSEIF("${CMAKE_C_FLAGS}" MATCHES "[-]m64")
-			SET(CPACK_SYSTEM_PROCESSOR x86_64)
-		ENDIF()
-		if(CPACK_SYSTEM_PROCESSOR STREQUAL "x86_64")
-			set(CPACK_SYSTEM_NAME Darwin64)
-		else()
-			set(CPACK_SYSTEM_NAME Darwin)
-		endif()
-		SET(CPACK_SYSTEM_NAME ${CPACK_SYSTEM_NAME}-${CPACK_SYSTEM_PROCESSOR})
-	elseif("${CMAKE_SYSTEM_NAME}" STREQUAL "CYGWIN")
-		SET(CPACK_SYSTEM_NAME Cygwin-x86)
-	elseif(UNIX)
-		set(CPACK_SYSTEM_PROCESSOR ${CMAKE_SYSTEM_PROCESSOR})
-		# Check for building 32-bit binaries on 64-bit machines
-		# Adjust names as appropriate
-		IF("${CMAKE_C_FLAGS}" MATCHES "[-]m32")
-			IF(CPACK_SYSTEM_PROCESSOR MATCHES "x86")
-				SET(CPACK_SYSTEM_PROCESSOR x86_32)
-			ELSE()
-				SET(CPACK_SYSTEM_PROCESSOR i386)
-			ENDIF()
-		# Check for building 64-bit binaries on 32-bit machines
-		# Adjust names as appropriate
-		ELSEIF("${CMAKE_C_FLAGS}" MATCHES "[-]m64")
-			IF(CPACK_SYSTEM_PROCESSOR MATCHES "x86")
-				SET(CPACK_SYSTEM_PROCESSOR x86_64)
-			ELSE()
-				SET(CPACK_SYSTEM_PROCESSOR amd64)
-			ENDIF()
-		ENDIF()
-		SET(CPACK_SYSTEM_NAME ${CMAKE_SYSTEM_NAME}-${CPACK_SYSTEM_PROCESSOR})
-	ELSE()
-		SET(CPACK_SYSTEM_NAME ${CMAKE_SYSTEM_NAME}-${CMAKE_SYSTEM_PROCESSOR})
-	ENDIF()
-ENDIF()
-
-IF(${CPACK_SYSTEM_NAME} MATCHES Windows)
-  IF(CMAKE_CL_64)
-    SET(CPACK_SYSTEM_NAME Win64-amd64)
-	SET(CPACK_NSIS_INSTALL_ROOT "$PROGRAMFILES64")
-  ELSE()
-    SET(CPACK_SYSTEM_NAME Win32-x86)
-  ENDIF()
-ENDIF()
-
-IF(NOT DEFINED CPACK_PACKAGE_FILE_NAME)
-    SET(CPACK_PACKAGE_FILE_NAME 
-      "${CPACK_SOURCE_PACKAGE_FILE_NAME}-${CPACK_SYSTEM_NAME}")
-ENDIF()
-
-IF(WIN32 AND NOT UNIX)
-  # There is a bug in NSI that does not handle full unix paths properly. Make
-  # sure there is at least one set of four (4) backlasshes.
-  #SET(CPACK_PACKAGE_ICON "${CMAKE_SOURCE_DIR}/Utilities/Release\\\\InstallIcon.bmp")
-  SET(CPACK_SOURCE_GENERATOR "ZIP")
-  SET(CPACK_GENERATOR "ZIP;NSIS")
-  SET(CPACK_NSIS_INSTALLED_ICON_NAME "bin\\\\spagedi.exe")
-  SET(CPACK_NSIS_DISPLAY_NAME "${SPAGEDI_NAME} ${SPAGEDI_VERSION_MAIN}")
-  SET(CPACK_NSIS_HELP_LINK "http:\\\\\\\\www.ulb.ac.be\\\\sciences\\\\ecoevol\\\\spagedi.html")
-  SET(CPACK_NSIS_URL_INFO_ABOUT "http:\\\\\\\\www.ulb.ac.be\\\\sciences\\\\ecoevol\\\\spagedi.html")
-  SET(CPACK_NSIS_CONTACT "ohardy@ulb.ac.be")
-  SET(CPACK_NSIS_MODIFY_PATH ON)
-  SET(CPACK_NSIS_DEFINES "
-		VIProductVersion ${SPAGEDI_VERSION_NUMBERED}
-		VIAddVersionKey ProductName \\\"${SPAGEDI_NAME}\\\"
-		VIAddVersionKey FileDescription \\\"Spatial Pattern Analysis of Genetic Diversity\\\"
-		VIAddVersionKey Comments \\\"A binary installer for ${SPAGEDI_NAME}.\\\"
-		VIAddVersionKey CompanyName \\\"${CPACK_PACKAGE_VENDOR}\\\"
-		VIAddVersionKey LegalCopyright \\\"${CPACK_PACKAGE_VENDOR}\\\"
-		VIAddVersionKey InternalName \\\"${SPAGEDI_NAME} Installer\\\"
-		VIAddVersionKey LegalTrademarks \\\"\\\"
-		VIAddVersionKey OriginalFilename \\\"${CPACK_PACKAGE_FILE_NAME}.exe\\\"
-		VIAddVersionKey FileVersion ${SPAGEDI_VERSION_NUMBERED}
-		VIAddVersionKey ProductVersion ${SPAGEDI_VERSION_NUMBERED}
-	")
-ELSEIF(APPLE)
-  SET(CPACK_SOURCE_GENERATOR "TBZ2") 
-  SET(CPACK_GENERATOR "PackageMaker" "TBZ2")
-  SET(CPACK_STRIP_FILES "bin/spagedi")  
-ELSE()
-  SET(CPACK_SOURCE_GENERATOR "TBZ2") 
-  SET(CPACK_GENERATOR "TBZ2")
-  SET(CPACK_STRIP_FILES "bin/spagedi")
-ENDIF()
-
-SET(CPACK_SOURCE_DIR ${CMAKE_SOURCE_DIR})
-SET(CPACK_BINARY_DIR ${CMAKE_BINARY_DIR})
-INCLUDE(CPack)
-
-ADD_CUSTOM_TARGET(version
-    ${CMAKE_COMMAND} -D SRC=${CMAKE_SOURCE_DIR}
-                     -D DST=${CMAKE_BINARY_DIR}
-                     -D GIT_EXECUTABLE=${GIT_EXECUTABLE}
-                     -D PACKAGE_NAME=${SPAGEDI_NAME}
-                     -D PACKAGE_VERSION=${SPAGEDI_VERSION}
-                     -P ${CMAKE_SOURCE_DIR}/Modules/version.cmake
-)
-
-ADD_CUSTOM_TARGET(new_package
-	COMMAND ${CMAKE_COMMAND} 
-		-P ${CMAKE_SOURCE_DIR}/Modules/new_package.cmake
-)
-
-ADD_CUSTOM_TARGET(new_package_source
-	COMMAND ${CMAKE_COMMAND} 
-		-P ${CMAKE_SOURCE_DIR}/Modules/new_package_source.cmake
-)
-
-ADD_DEPENDENCIES(new_package version spagedi)
-ADD_DEPENDENCIES(new_package_source version)
-
 ADD_SUBDIRECTORY(src)
 ADD_SUBDIRECTORY(example_data)
 
-INCLUDE(install_glue)
-
 INSTALL(FILES manual.pdf copying.txt readme.txt DESTINATION ${CMAKE_DOC_DIR})
 
-#INCLUDE(InstallRequiredSystemLibraries)
+# uninstall target
+if(NOT TARGET uninstall)
+    configure_file(
+        "${CMAKE_CURRENT_SOURCE_DIR}/cmake_uninstall.cmake.in"
+        "${CMAKE_CURRENT_BINARY_DIR}/cmake_uninstall.cmake"
+        IMMEDIATE @ONLY)
 
+    add_custom_target(uninstall
+        COMMAND ${CMAKE_COMMAND} -P ${CMAKE_CURRENT_BINARY_DIR}/cmake_uninstall.cmake)
+endif()
diff --git a/Modules/CMakeIngestOSXBundleLibraries.cmake b/Modules/CMakeIngestOSXBundleLibraries.cmake
deleted file mode 100755
index 37e4701..0000000
--- a/Modules/CMakeIngestOSXBundleLibraries.cmake
+++ /dev/null
@@ -1,339 +0,0 @@
-#
-# CMakeIngestOSXBundleLibraries.cmake
-#
-# Only for the Mac build.
-#
-# Depends on OS tools:
-#   otool
-#   install_name_tool
-#
-# This script ingests libraries and frameworks into an existing .app bundle and
-# then uses install_name_tool to fixup the references to the newly embedded
-# libraries so that they all refer to each other via "@executable_path."
-#
-# The main intent (and simplifying assumption used for developing the script)
-# is to have a single executable .app bundle that becomes "self-contained" by
-# copying all non-system libs that it depends on into itself. The further
-# assumption is that all such dependencies are simple .dylib shared library
-# files or Mac Framework libraries.
-#
-# This script can be used as part of the build via ADD_CUSTOM_COMMAND, or used
-# only during make install via INSTALL SCRIPT.
-#
-if(NOT DEFINED input_file)
-  message(FATAL_ERROR "
-${CMAKE_CURRENT_LIST_FILE}(${CMAKE_CURRENT_LIST_LINE}): error: Variable input_file is not defined.
-
-Use a command line like this to use this script:
-  cmake \"-Dinput_file=filename\" \"-Dextra_libs=/path/to/lib1;/path/to/lib2\" \"-Dlib_path=/path/to/unqualified/libs\" -P \"${CMAKE_CURRENT_LIST_FILE}\"
-
-'input_file' should be the main executable inside a Mac bundle directory structure.
-For example, use 'bin/paraview.app/Contents/MacOS/paraview' from a ParaView binary dir.
-
-'extra_libs' should be a semi-colon separated list of full path names to extra libraries
-to copy into the bundle that cannot be derived from otool -L output. For example, you may
-also want to fixup dynamically loaded plugins from your build tree and copy them into the
-bundle.
-
-'lib_path' should be the path where to find libraries referenced without a path name in
-otool -L output.
-
-")
-endif(NOT DEFINED input_file)
-message("ingest ${input_file}")
-set(eol_char "E")
-
-if(APPLE)
-  set(dep_tool "otool")
-  set(dep_cmd_args "-L")
-  set(dep_regex "^\t([^\t]+) \\(compatibility version ([0-9]+.[0-9]+.[0-9]+), current version ([0-9]+.[0-9]+.[0-9]+)\\)${eol_char}$")
-endif(APPLE)
-
-message("")
-message("# Script \"${CMAKE_CURRENT_LIST_FILE}\" running...")
-message("")
-message("input_file: '${input_file}'")
-message("extra_libs: '${extra_libs}'")
-message("lib_path: '${lib_path}'")
-message("")
-
-get_filename_component(input_file_full "${input_file}" ABSOLUTE)
-message("input_file_full: '${input_file_full}'")
-
-get_filename_component(bundle "${input_file_full}/../../.." ABSOLUTE)
-message("bundle: '${bundle}'")
-
-
-find_program(dep_cmd ${dep_tool})
-
-# find the full path to the framework in path set the result
-# in pathout
-macro(find_framework_full_path path pathout)
-  set(${pathout} "${path}")
-  if(NOT EXISTS "${path}")
-    set(FRAMEWORK_SEARCH "/Library/Frameworks"
-      "/System/Library/Frameworks" )
-    set(__FOUND FALSE)
-    foreach(f ${FRAMEWORK_SEARCH})
-      set(newd "${f}/${path}")
-      if(EXISTS "${newd}" AND NOT __FOUND)
-        set(${pathout} "${newd}")
-        set(__FOUND TRUE)
-      endif(EXISTS "${newd}" AND NOT __FOUND)
-    endforeach(f)
-  endif(NOT EXISTS "${path}")
-endmacro(find_framework_full_path)
-
-
-macro(append_unique au_list_var au_value)
-  set(${au_list_var} ${${au_list_var}} "${au_value}")
-endmacro(append_unique)
-
-
-macro(gather_dependents gd_target gd_dependents_var)
-  execute_process(
-    COMMAND ${dep_cmd} ${dep_cmd_args} ${gd_target}
-    OUTPUT_VARIABLE dep_tool_ov
-    )
-
-  string(REGEX REPLACE ";" "\\\\;" dep_candidates "${dep_tool_ov}")
-  string(REGEX REPLACE "\n" "${eol_char};" dep_candidates "${dep_candidates}")
-
-  set(${gd_dependents_var} "")
-
-  foreach(candidate ${dep_candidates})
-  if("${candidate}" MATCHES "${dep_regex}")
-    string(REGEX REPLACE "${dep_regex}" "\\1" raw_item "${candidate}")
-    string(REGEX REPLACE "${dep_regex}" "\\2" raw_compat_version "${candidate}")
-    string(REGEX REPLACE "${dep_regex}" "\\3" raw_current_version "${candidate}")
-
-    set(item "${raw_item}")
-
-    string(REGEX REPLACE "^([0-9]+)\\.([0-9]+)\\.([0-9]+)$" "\\1" compat_major_version "${raw_compat_version}")
-    string(REGEX REPLACE "^([0-9]+)\\.([0-9]+)\\.([0-9]+)$" "\\2" compat_minor_version "${raw_compat_version}")
-    string(REGEX REPLACE "^([0-9]+)\\.([0-9]+)\\.([0-9]+)$" "\\3" compat_patch_version "${raw_compat_version}")
-
-    string(REGEX REPLACE "^([0-9]+)\\.([0-9]+)\\.([0-9]+)$" "\\1" current_major_version "${raw_current_version}")
-    string(REGEX REPLACE "^([0-9]+)\\.([0-9]+)\\.([0-9]+)$" "\\2" current_minor_version "${raw_current_version}")
-    string(REGEX REPLACE "^([0-9]+)\\.([0-9]+)\\.([0-9]+)$" "\\3" current_patch_version "${raw_current_version}")
-
-    #message("${raw_item} - compat ${raw_compat_version} - current ${raw_current_version}")
-    append_unique("${gd_dependents_var}" "${item}")
-  else("${candidate}" MATCHES "${dep_regex}")
-    if("${candidate}" STREQUAL "${gd_target}:${eol_char}")
-      #message("info: ignoring target name...")
-    else("${candidate}" STREQUAL "${gd_target}:${eol_char}")
-      message("error: candidate='${candidate}'")
-    endif("${candidate}" STREQUAL "${gd_target}:${eol_char}")
-  endif("${candidate}" MATCHES "${dep_regex}")
-  endforeach(candidate)
-endmacro(gather_dependents)
-
-
-message("Gathering dependent libraries for '${input_file_full}'...")
-gather_dependents("${input_file_full}" deps)
-message("")
-
-
-# Order lexicographically:
-#
-list(SORT deps)
-
-
-# Split into separate lists, "system" "embedded" and "nonsystem" libraries.
-# System libs are assumed to be available on all target runtime Macs and do not
-# need to be copied/fixed-up by this script. Embedded libraries are assumed to
-# be in the bundle and fixed-up already. Only non-system, non-embedded libs
-# need copying and fixing up...
-#
-set(system_deps "")
-set(embedded_deps "")
-set(nonsystem_deps "")
-
-foreach(d ${deps})
-  set(d_is_embedded_lib 0)
-  set(d_is_system_lib 0)
-
-  if("${d}" MATCHES "^(/System/Library|/usr/lib)")
-    set(d_is_system_lib 1)
-  else("${d}" MATCHES "^(/System/Library|/usr/lib)")
-    if("${d}" MATCHES "^@executable_path")
-      set(d_is_embedded_lib 1)
-    endif("${d}" MATCHES "^@executable_path")
-  endif("${d}" MATCHES "^(/System/Library|/usr/lib)")
-
-  if(d_is_system_lib)
-    set(system_deps ${system_deps} "${d}")
-  else(d_is_system_lib)
-    if(d_is_embedded_lib)
-      set(embedded_deps ${embedded_deps} "${d}")
-    else(d_is_embedded_lib)
-      set(nonsystem_deps ${nonsystem_deps} "${d}")
-    endif(d_is_embedded_lib)
-  endif(d_is_system_lib)
-endforeach(d)
-
-message("")
-message("system_deps:")
-foreach(d ${system_deps})
-  message("${d}")
-endforeach(d ${system_deps})
-
-message("")
-message("embedded_deps:")
-foreach(d ${embedded_deps})
-  message("${d}")
-endforeach(d ${embedded_deps})
-
-message("")
-message("nonsystem_deps:")
-foreach(d ${nonsystem_deps})
-  message("${d}")
-endforeach(d ${nonsystem_deps})
-
-message("")
-
-
-macro(copy_library_into_bundle clib_bundle clib_libsrc clib_dstlibs clib_fixups)
-  #
-  # If the source library is a framework, copy just the shared lib bit of the framework
-  # into the bundle under "${clib_bundle}/Contents/Frameworks" - if it is just a dylib
-  # copy it into the same directory with the main bundle executable under
-  # "${clib_bundle}/Contents/MacOS"
-  #
-  if("${clib_libsrc}" MATCHES ".framework/.*/.*/.*")
-    # make sure clib_libsrc is a full path to the framework as a framework
-    # maybe linked in with relative paths in some cases
-    find_framework_full_path("${clib_libsrc}" fw_full_src)
-    get_filename_component(fw_src "${fw_full_src}" ABSOLUTE)
-    get_filename_component(fw_srcdir "${clib_libsrc}/../../.." ABSOLUTE)
-    get_filename_component(fwdirname "${fw_srcdir}" NAME)
-    string(REGEX REPLACE "^(.*)\\.framework$" "\\1" fwname "${fwdirname}")
-    string(REGEX REPLACE "^.*/${fwname}\\.framework/(.*)$" "\\1" fwlibname "${clib_libsrc}")
-    set(fw_dstdir "${clib_bundle}/Contents/Frameworks/${fwdirname}")
-
-#     message("")
-#     message("fwdirname: '${fwdirname}'")
-#     message("fwname: '${fwname}'")
-#     message("fwlibname: '${fwlibname}'")
-#     message("fw_src: '${fw_src}'")
-#     message("fw_srcdir: '${fw_srcdir}'")
-#     message("fw_dstdir: '${fw_dstdir}'")
-#     message("new_name: '@executable_path/../Frameworks/${fwdirname}/${fwlibname}'")
-#     message("")
-
-    message("Copying ${fw_srcdir} into bundle...")
-
-    # This command copies the *entire* framework recursively:
-    #
-#    execute_process(COMMAND ${CMAKE_COMMAND} -E copy_directory
-#      "${fw_srcdir}" "${fw_dstdir}"
-#    )
-
-    # This command copies just the main shared lib of the framework:
-    # (This technique will not work for frameworks that have necessary
-    # resource or auxiliary files...)
-    #
-    message("fw_src = [${fw_src}]   fw_full_src = [${fw_full_src}]")
-    message("Copy: ${CMAKE_COMMAND} -E copy \"${fw_src}\"  \"${fw_dstdir}/${fwlibname}\"")
-    execute_process(COMMAND ${CMAKE_COMMAND} -E copy
-      "${fw_src}" "${fw_dstdir}/${fwlibname}"
-    )
-
-    execute_process(COMMAND install_name_tool
-      -id "@executable_path/../Frameworks/${fwdirname}/${fwlibname}"
-      "${clib_bundle}/Contents/Frameworks/${fwdirname}/${fwlibname}"
-    )
-    set(${clib_dstlibs} ${${clib_dstlibs}}
-      "${clib_bundle}/Contents/Frameworks/${fwdirname}/${fwlibname}"
-    )
-    set(${clib_fixups} ${${clib_fixups}}
-      "-change"
-      "${clib_libsrc}"
-      "@executable_path/../Frameworks/${fwdirname}/${fwlibname}"
-    )
-  else("${clib_libsrc}" MATCHES ".framework/.*/.*/.*")
-    if("${clib_libsrc}" MATCHES "/")
-      set(clib_libsrcfull "${clib_libsrc}")
-    else("${clib_libsrc}" MATCHES "/")
-      set(clib_libsrcfull "${lib_path}/${clib_libsrc}")
-      if(NOT EXISTS "${clib_libsrcfull}")
-        message(FATAL_ERROR "error: '${clib_libsrcfull}' does not exist...")
-      endif(NOT EXISTS "${clib_libsrcfull}")
-    endif("${clib_libsrc}" MATCHES "/")
-
-    get_filename_component(dylib_src "${clib_libsrcfull}" ABSOLUTE)
-    get_filename_component(dylib_name "${dylib_src}" NAME)
-    set(dylib_dst "${clib_bundle}/Contents/MacOS/${dylib_name}")
-
-#    message("dylib_src: ${dylib_src}")
-#    message("dylib_dst: ${dylib_dst}")
-#    message("new_name: '@executable_path/${dylib_name}'")
-
-    message("Copying ${dylib_src} into bundle...")
-    execute_process(COMMAND ${CMAKE_COMMAND} -E copy
-      "${dylib_src}" "${dylib_dst}")
-    execute_process(COMMAND install_name_tool
-      -id "@executable_path/${dylib_name}"
-      "${dylib_dst}"
-    )
-    set(${clib_dstlibs} ${${clib_dstlibs}}
-      "${dylib_dst}"
-    )
-    set(${clib_fixups} ${${clib_fixups}}
-      "-change"
-      "${clib_libsrc}"
-      "@executable_path/${dylib_name}"
-    )
-  endif("${clib_libsrc}" MATCHES ".framework/.*/.*/.*")
-endmacro(copy_library_into_bundle)
-
-
-# Copy dependent "nonsystem" libraries into the bundle:
-#
-message("Copying dependent libraries into bundle...")
-set(srclibs ${nonsystem_deps} ${extra_libs})
-set(dstlibs "")
-set(fixups "")
-foreach(d ${srclibs})
-  message("copy it --- ${d}")
-  copy_library_into_bundle("${bundle}" "${d}" dstlibs fixups)
-endforeach(d)
-
-message("")
-message("dstlibs='${dstlibs}'")
-message("")
-message("fixups='${fixups}'")
-message("")
-
-
-# Fixup references to copied libraries in the main bundle executable and in the
-# copied libraries themselves:
-#
-if(NOT "${fixups}" STREQUAL "")
-  message("Fixing up references...")
-  foreach(d ${dstlibs} "${input_file_full}")
-    message("fixing up references in: '${d}'")
-    execute_process(COMMAND install_name_tool ${fixups} "${d}")
-  endforeach(d)
-  message("")
-endif(NOT "${fixups}" STREQUAL "")
-
-
-# List all references to eyeball them and make sure they look right:
-#
-message("Listing references...")
-foreach(d ${dstlibs} "${input_file_full}")
-  execute_process(COMMAND otool -L "${d}")
-  message("")
-endforeach(d)
-message("")
-
-
-# Output file:
-#
-#get_filename_component(script_name "${CMAKE_CURRENT_LIST_FILE}" NAME)
-#file(WRITE "${input_file_full}_${script_name}" "# Script \"${CMAKE_CURRENT_LIST_FILE}\" completed.\n")
-message("")
-message("# Script \"${CMAKE_CURRENT_LIST_FILE}\" completed.")
-message("")
diff --git a/Modules/install_glue.cmake b/Modules/install_glue.cmake
deleted file mode 100644
index 691a5fb..0000000
--- a/Modules/install_glue.cmake
+++ /dev/null
@@ -1,8 +0,0 @@
-INSTALL(CODE "
-IF(DEFINED ENV{CMAKE_INSTALL_DIR_VERSION})
-	SET(CMAKE_INSTALL_DIR_VERSION \"\$ENV{CMAKE_INSTALL_DIR_VERSION}\")
-ELSE()
-	SET(CMAKE_INSTALL_DIR_VERSION \"${CMAKE_INSTALL_DIR_VERSION_DEFAULT}\")
-ENDIF()
-")
-
diff --git a/Modules/new_install.cmake b/Modules/new_install.cmake
deleted file mode 100644
index d3716a4..0000000
--- a/Modules/new_install.cmake
+++ /dev/null
@@ -1,37 +0,0 @@
-# This shouldn't be run if we are using the built in packaging targets
-IF(NOT NEW_PACKAGE)
-	IF(NOT CPACK_INSTALL_CMAKE_PROJECTS)
-		MESSAGE(WARNING "Use 'new_package_source' target instead of 'package_source'.")
-	ELSE()
-		MESSAGE(WARNING "Use 'new_package' target instead of 'package'.")
-	ENDIF()
-#	RETURN()
-ENDIF()
-
-SET(VERFILE_BASE "src/spagedi_version.h")
-
-# Test if we are doing a source install
-IF(NOT CPACK_INSTALL_CMAKE_PROJECTS)
-	IF(EXISTS "${CPACK_BINARY_DIR}/${VERFILE_BASE}")
-		# Copy Version File
-		EXECUTE_PROCESS(COMMAND ${CMAKE_COMMAND} -E copy_if_different
-			"${CPACK_BINARY_DIR}/${VERFILE_BASE}"
-	        "${CMAKE_INSTALL_PREFIX}/${VERFILE_BASE}.pkg"
-		)
-	ELSE()
-		# Constuct a pkg version file as needed
-		# Version number may be inaccurate
-		SET(PACKAGE_NAME ${CPACK_PACKAGE_NAME})
-		SET(PACKAGE_VERSION "${CPACK_PACKAGE_VERSION}")
-		CONFIGURE_FILE("${CPACK_SOURCE_DIR}/${VERFILE_BASE}.in"
-			"${CMAKE_INSTALL_PREFIX}/${VERFILE_BASE}.pkg"
-			@ONLY)
-	ENDIF()
-	
-	# Construct Build Directory
-	FILE(MAKE_DIRECTORY "${CMAKE_INSTALL_PREFIX}/build")
-	EXECUTE_PROCESS(COMMAND ${CMAKE_COMMAND} -E copy_if_different
-		"${CPACK_SOURCE_DIR}/readme.txt"
-		"${CMAKE_INSTALL_PREFIX}/build/readme.txt"
-	)
-ENDIF()
diff --git a/Modules/new_package.cmake b/Modules/new_package.cmake
deleted file mode 100644
index ea026ae..0000000
--- a/Modules/new_package.cmake
+++ /dev/null
@@ -1,25 +0,0 @@
-# Command for creating a package with defined name
-
-INCLUDE(CPackConfig.cmake)
-
-SET(PACKAGE_VERSION "${CPACK_PACKAGE_VERSION}")
-SET(PACKAGE_NAME "${CPACK_PACKAGE_NAME}")
-
-INCLUDE("${CMAKE_BINARY_DIR}/src/spagedi_version.h")
-
-# Some files use directories that contain the version number
-# Update as needed
-IF(PACKAGE_VERSION MATCHES "([0-9]+)\\.([0-9]+)([a-z]+)-?(.*)")
-	SET(ENV{CMAKE_INSTALL_DIR_VERSION} ${CMAKE_MATCH_1}.${CMAKE_MATCH_2})
-ENDIF()
-
-EXECUTE_PROCESS(COMMAND ${CMAKE_CPACK_COMMAND}
-	-D NEW_PACKAGE=TRUE
-	-D CPACK_PACKAGE_FILE_NAME=${PACKAGE_NAME}-${PACKAGE_VERSION}-${CPACK_SYSTEM_NAME}
-	--config CPackConfig.cmake
-	-P "${PACKAGE_NAME}"
-	-R "${PACKAGE_VERSION}"
-	TIMEOUT 3600
-	WORKING_DIRECTORY ${CMAKE_BINARY_DIR}
-)
-
diff --git a/Modules/new_package_source.cmake b/Modules/new_package_source.cmake
deleted file mode 100644
index 71aa8b6..0000000
--- a/Modules/new_package_source.cmake
+++ /dev/null
@@ -1,19 +0,0 @@
-# Command for creating a package source with defined name
-
-INCLUDE(CPackSourceConfig.cmake)
-
-SET(PACKAGE_VERSION "${CPACK_PACKAGE_VERSION}")
-SET(PACKAGE_NAME "${CPACK_PACKAGE_NAME}")
-
-INCLUDE("${CMAKE_BINARY_DIR}/src/spagedi_version.h")
-
-EXECUTE_PROCESS(COMMAND ${CMAKE_CPACK_COMMAND}
-	-D NEW_PACKAGE=TRUE
-	-D CPACK_PACKAGE_FILE_NAME=${PACKAGE_NAME}-${PACKAGE_VERSION}
-	--config CPackSourceConfig.cmake
-	-P "${PACKAGE_NAME}"
-	-R "${PACKAGE_VERSION}"
-	TIMEOUT 3600
-	WORKING_DIRECTORY ${CMAKE_BINARY_DIR}
-)
-
diff --git a/Modules/version.cmake b/Modules/version.cmake
deleted file mode 100644
index cbc5218..0000000
--- a/Modules/version.cmake
+++ /dev/null
@@ -1,30 +0,0 @@
-#get_cmake_property(_variableNames VARIABLES)
-#foreach (_variableName ${_variableNames})
-#    message(STATUS "${_variableName}=${${_variableName}}")
-#endforeach()
-
-SET(VERFILE_BASE "src/spagedi_version.h")
-
-# Update version if we can
-IF(GIT_EXECUTABLE AND EXISTS "${SRC}/.git") 
-	EXECUTE_PROCESS(
-	     COMMAND ${GIT_EXECUTABLE} describe --tags --dirty
-	     RESULT_VARIABLE GIT_RESULT
-	     OUTPUT_VARIABLE PKG_VERSION
-	     OUTPUT_STRIP_TRAILING_WHITESPACE
-	     ERROR_QUIET
-	)
-	IF(GIT_RESULT EQUAL 0)
-		SET(PACKAGE_VERSION "${PKG_VERSION}")
-	ENDIF()
-ENDIF()
-
-# Prefer .pkg
-IF(EXISTS ${SRC}/${VERFILE_BASE}.pkg)
-	SET(INFILE ${SRC}/${VERFILE_BASE}.pkg)
-ELSE()
-	SET(INFILE ${SRC}/${VERFILE_BASE}.in)
-ENDIF()
-
-CONFIGURE_FILE(${INFILE} ${DST}/${VERFILE_BASE} @ONLY)
-
diff --git a/README.md b/README.md
index 9beb79a..5519cb3 100644
--- a/README.md
+++ b/README.md
@@ -1,5 +1,4 @@
-SPAGeDi
-=======
+# SPAGeDi
 
 SPAGeDi: Spatial Pattern Analysis of Genetic Diversity  
 Copyright &copy; 2002&ndash;2009 Olivier Hardy (<ohardy@ulb.ac.be>) and Xavier Vekemans
@@ -8,10 +7,8 @@ Portable/Unix source code maintained by Reed A. Cartwright (<cartwright@asu.edu>
 
 Website: <http://ebe.ulb.ac.be/ebe/SPAGeDi.html>  
 GitHub: <https://github.com/reedacartwright/spagedi>  
-Downloads: <http://scit.us/spagedi/>  
 
-License
--------
+## License
 
 This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
 
@@ -19,35 +16,30 @@ This program is distributed in the hope that it will be useful, but **without an
 
 You should have received a copy of the GNU General Public License along with this program.  If not, see <http://www.gnu.org/licenses/>.
 
-Citation
---------
+## Citation
 
 [Hardy OJ & Vekemans X (2002)](http://iee.ulb.ac.be/sciences/lagev/fichiers/Spagedi_MENotes2002.pdf) SPAGeDi: a versatile computer program to analyse spatial genetic structure at the individual or population levels. Molecular Ecology Notes 2: 618&ndash;620.
 
-Nota Bene
----------
+## Nota Bene
 
 SPAGeDi has been tested on several data sets and results were checked for consistency with alternative softwares whenever possible. It may nevertheless still contain bugs (corrected bugs are listed at the end of the manual). Some of these bugs are probably easy to detect by causing the program to crash or leading to obvious erroneous results for particular data sets and analyses. But others, more critical, may just cause biased results that appear plausible. Hence, it is advised to take much care checking the consistency of the information from the results file. The authors would appreciate being informed of any detected bug. The authors claim no responsibility if or whenever a bug causes a misinterpretation of the results given by SPAGeDi.
 
-Using SPAGeDi
--------------
+## Using SPAGeDi
 
 See manual.pdf for detailed instructions on using SPAGeDi.
 
-Downloading and Installing
---------------------------
+## Downloading and Installing
 
-Binary packages for SPAGeDi can be downloaded from <http://scit.us/spagedi/>.
+Source code for SPAGeDi can be downloaded from <https://github.com/reedacartwright/spagedi/releases>.
 
-Compiling from Source Code
---------------------------
+### Compiling from Source Code
 
-SPAGeDi requires CMake 2.8 (<http://www.cmake.org/>) to build it from sources.  Many Unix-like operating systems can install CMake through their package systems.
+SPAGeDi requires CMake (<http://www.cmake.org/>) to build it from sources.  Many Unix-like operating systems can install CMake through their package systems.
 
-Download the SPAGeDi source code (<http://scit.us/spagedi/>) and issue the following commands:
+Download the SPAGeDi source code (from <https://github.com/reedacartwright/spagedi/releases>) and issue the following commands:
 
-	tar xvzf SPAGeDi-.*.tar.bz2
-	cd SPAGeDi-.*/build
+	tar xvzf spagedi-*.tar.bz2
+	cd spagedi-*/build
 	cmake ..
 	make
 	make install
@@ -60,9 +52,17 @@ The '-G' option to cmake is used to specify different build systems, e.g. Unix M
 	make
 	make install
 
-This will build an optimized version of SPAGeDi and install it to '/usr/bin'. To specify your own build flags you need to set the environment variables CFLAGS and LDFLAGS as neccessary.  Then specify
+This will build an optimized version of SPAGeDi and install it to '/usr/bin'. To specify your own build flags you need to set the environment variables CFLAGS and LDFLAGS as necessary.  Then specify
 
 	cmake -DCMAKE_BUILD_TYPE= .
 
 See CMake's manual for additional information.
 
+### Compiling from Source Code (alternative)
+
+If you are having trouble getting CMake to work, you can try to compile manually.
+
+	cd spagedi-*/src
+	gcc -O2 -o ./spagedi *.c -lm
+
+You will then have a `spagedi-*/src/spagedi` binary that you can copy wherever is useful to you.
diff --git a/cmake_uninstall.cmake.in b/cmake_uninstall.cmake.in
new file mode 100644
index 0000000..4c07dc7
--- /dev/null
+++ b/cmake_uninstall.cmake.in
@@ -0,0 +1,21 @@
+if(NOT EXISTS "@CMAKE_BINARY_DIR@/install_manifest.txt")
+  message(FATAL_ERROR "Cannot find install manifest: @CMAKE_BINARY_DIR@/install_manifest.txt")
+endif(NOT EXISTS "@CMAKE_BINARY_DIR@/install_manifest.txt")
+
+file(READ "@CMAKE_BINARY_DIR@/install_manifest.txt" files)
+string(REGEX REPLACE "\n" ";" files "${files}")
+foreach(file ${files})
+  message(STATUS "Uninstalling $ENV{DESTDIR}${file}")
+  if(IS_SYMLINK "$ENV{DESTDIR}${file}" OR EXISTS "$ENV{DESTDIR}${file}")
+    exec_program(
+      "@CMAKE_COMMAND@" ARGS "-E remove \"$ENV{DESTDIR}${file}\""
+      OUTPUT_VARIABLE rm_out
+      RETURN_VALUE rm_retval
+      )
+    if(NOT "${rm_retval}" STREQUAL 0)
+      message(FATAL_ERROR "Problem when removing $ENV{DESTDIR}${file}")
+    endif(NOT "${rm_retval}" STREQUAL 0)
+  else(IS_SYMLINK "$ENV{DESTDIR}${file}" OR EXISTS "$ENV{DESTDIR}${file}")
+    message(STATUS "File $ENV{DESTDIR}${file} does not exist.")
+  endif(IS_SYMLINK "$ENV{DESTDIR}${file}" OR EXISTS "$ENV{DESTDIR}${file}")
+endforeach(file)
diff --git a/example_data/CMakeLists.txt b/example_data/CMakeLists.txt
index 52f843a..16a4861 100644
--- a/example_data/CMakeLists.txt
+++ b/example_data/CMakeLists.txt
@@ -1,10 +1,9 @@
 INSTALL(FILES
-	DataAFLP-estimation_of_marker_heritability.txt
-	DataAFLP-kinship_estimation_corrected_by_heritability.txt
-	DataAllozymes-diploids_and_tetraploids.txt
-	DataHaplo-with_distance_matrix_between_haplotypes.txt
-	DataSSR-fine_scale_spatial_structure.txt
-	DataSSR-with_spatial_distance_matrix.txt
-
+    DataHaplo-with_distance_matrix_between_haplotypes.txt
+    DataAFLP-estimation_of_marker_heritability.txt
+    DataSSR-fine_scale_spatial_structure.txt
+    DataAFLP-kinship_estimation_corrected_by_heritability.txt
+    DataSSR-with_spatial_distance_matrix.txt
+    DataAllozymes-diploids_and_tetraploids.txt
 DESTINATION "${CMAKE_DATA_DIR}/example_data")
 
diff --git a/example_data/DataAFLP-estimation_of_marker_heritability.txt b/example_data/DataAFLP-estimation_of_marker_heritability.txt
index fc98007..c8e8b65 100644
--- a/example_data/DataAFLP-estimation_of_marker_heritability.txt
+++ b/example_data/DataAFLP-estimation_of_marker_heritability.txt
@@ -1,129 +1,129 @@
-// Example of AFLP dataset to be used to estimate the broad-sense heritability (H2) of each AFLP marker, following Ley & Hardy 2013 (Mol Ecol, in press). 																																																																																								
-// 60 individuals were typed at 87 AFLP markers in two independent runs. 2= band present, 1=band absent.																																																																																								
-// The broad-sense heritability of each marker is estimated by computing the Fst among categories (i.e. among individuals in this case). 																																																																																								
-// Permutation tests allow an adequate test of the null hypothesis that h2=0.																																																																																								
-// Note that the dataset is formated as for an haploid organism (6th format digit = 1) rather than as for a dominant marker.																																																																																								
-120	60	0	87	1	1																																																																																			
-0																																																																																								
-DuplicatedSample	Individual	L2_49.028	L2_73.956	L2_76.676	L2_99.967	L2_104.329	L2_108.254	L2_110.877	L2_112.862	L2_120.619	L2_124.114	L2_132.803	L2_137.654	L2_140.171	L2_145.326	L2_152.477	L2_156.359	L2_158.63	L2_165.548	L2_167.746	L2_172.133	L2_174.139	L2_177.405	L2_181.708	L2_186.238	L2_189.442	L2_192.638	L2_194.814	L2_203.315	L2_205.541	L2_210.75	L2_213.437	L2_215.552	L2_220.847	L2_224.507	L2_231.012	L2_233.35	L2_236.311	L2_242.786	L2_248.061	L2_253.731	L2_255.955	L2_258.065	L2_264.35	L2_267.775	L2_273.067	L2_276.011	L2_279.8	L2_281.833	L2_284.267	L2_288.619	L2_304.8	L2_309.28	L2_312.291	L2_314.443	L2_329.1	L2_332.6	L2_336.1	L2_337.95	L2_339.92	L2_343.336	L2_347	L2_354.3	L2_359	L2_361.9	L2_363.2	L2_366.3	L2_374.638	L2_378.305	L2_381.62	L2_382.95	L2_387.6	L2_392.987	L2_395.9	L2_398.3	L2_405.6	L2_421.3	L2_428.75	L2_433.163	L2_441.8	L2_451.54	L2_456.8	L2_462.967	L2_464.847	L2_483.1	L2_485.8	L2_492.4	L2_493.5
-ACL0035_F07 	ACL0035	2	2	1	1	1	1	1	2	1	2	2	1	1	1	1	1	2	2	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0035_D11	ACL0035	2	2	2	1	1	1	1	2	1	1	2	1	2	1	1	1	2	2	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0037_A02	ACL0037	2	2	1	1	1	2	1	2	1	1	1	1	1	1	1	2	1	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0037_H01	ACL0037	2	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	2	2	1	1	2	2	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0040_A01	ACL0040	2	2	2	1	1	1	1	2	1	1	2	1	2	1	2	1	2	2	2	1	2	2	1	1	2	2	1	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0040Ext8_A07	ACL0040	2	2	1	1	1	1	1	2	1	2	1	2	1	1	1	1	1	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0040_A08 	ACL0040b	2	2	2	1	1	1	1	2	1	1	1	1	2	1	2	1	2	2	2	1	2	2	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0040_D01	ACL0040b	2	2	1	1	1	1	1	2	1	1	1	1	1	2	1	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0048_A03	ACL0048	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	2	2	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1
-ACL0048_A04	ACL0048	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1
-ACL0049_G11	ACL0049	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	2	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0049Ext8_A11	ACL0049	2	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	2	2	2	1	2	1	1	1	1	1	2	1	1	1	2	1	1	1	2	1	1	2	1	1	2	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0051_F12	ACL0051	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	2	2	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0051Ext8_G05	ACL0051	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0058_A03	ACL0058	2	2	2	1	1	2	2	2	1	1	1	1	1	2	1	1	1	2	2	1	2	1	2	1	1	2	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	2	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0058Ext8_A01	ACL0058	2	2	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0624_C04	ACL0624	2	2	1	1	1	1	1	2	1	2	1	1	1	1	1	1	2	2	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0624_C10	ACL0624	2	2	2	1	1	1	1	2	2	2	1	1	1	1	2	1	2	2	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0651_C07	ACL0651	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	2	1	2	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1
-ACL0651Ext8_E01	ACL0651	2	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	2	2	1	2	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0663_B01	ACL0663	2	2	1	1	1	1	1	2	2	1	2	1	2	2	2	1	2	2	1	1	2	2	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0663_D05	ACL0663	2	2	2	1	1	1	2	2	1	2	2	1	2	1	2	1	2	2	1	1	2	2	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0692_F04	ACL0692	2	2	1	2	1	2	1	2	1	1	1	1	1	1	2	2	2	2	2	1	2	2	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0692_H09	ACL0692	2	2	1	2	1	1	1	2	1	1	1	1	1	1	1	2	2	2	2	1	2	2	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0697_E01	ACL0697	2	2	1	1	2	2	1	2	1	2	1	1	1	1	1	1	2	2	1	1	2	2	1	2	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0697_E10	ACL0697	2	2	1	1	1	2	1	2	1	2	1	1	1	1	1	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0709_C02	ACL0709	2	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	2	1	1	2	2	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0709_C08 	ACL0709	2	2	1	1	1	1	2	2	1	1	1	1	2	1	2	1	2	2	2	1	2	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1
-ACL0709_C11	ACL0709b	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	2	1	1	2	2	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0709_F07	ACL0709b	2	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0711Ext8_A09	ACL0711	2	2	2	1	1	2	1	2	1	1	1	1	2	1	2	1	2	2	1	1	2	2	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0711_H07	ACL0711	2	2	2	1	1	2	1	2	1	1	1	1	2	1	1	1	2	2	1	1	2	2	1	2	1	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0719_B02	ACL0719	2	2	1	2	2	2	1	2	1	1	2	1	1	1	1	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0719_D06	ACL0719	2	2	1	2	1	2	1	2	1	1	1	1	1	1	2	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0720_G06	ACL0720	2	2	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	2	1	1	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0720_C07 	ACL0720	2	2	1	1	2	1	1	2	1	2	1	1	1	1	1	1	2	2	2	1	2	1	2	1	1	1	1	1	1	2	2	2	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0721_E09	ACL0721	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	2	1	2	1	1	1	1	1	2	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0721_F03	ACL0721	2	2	1	1	2	2	1	2	1	1	1	1	1	1	1	1	1	2	1	1	2	2	2	1	1	2	2	1	1	1	2	2	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0724_A09	ACL0724	2	2	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	2	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0724_A10	ACL0724	2	2	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0736_B02	ACL0736	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0736_D07 	ACL0736	2	2	1	1	1	1	1	2	1	1	1	1	2	1	1	1	2	2	2	1	2	1	2	1	1	1	1	1	1	1	2	1	2	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1
-ACL0744_D04	ACL0744	2	2	1	1	1	1	2	2	1	2	1	1	1	2	2	1	2	1	2	1	2	1	2	1	2	2	1	1	1	2	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0744_E09	ACL0744	2	2	1	1	1	2	2	2	1	1	1	1	1	2	1	1	2	1	1	1	2	1	2	1	1	2	1	1	2	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0776_F02	ACL0776	2	2	1	1	1	2	1	2	1	1	2	1	1	1	1	1	1	2	1	1	2	2	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0776_F10	ACL0776	2	2	1	1	1	2	1	2	1	1	2	1	1	1	1	1	1	2	1	1	2	2	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0792_A11	ACL0792	2	2	1	1	1	2	1	2	2	1	1	1	1	1	1	1	1	2	1	1	2	2	1	1	1	2	1	1	2	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0792_G01	ACL0792	2	2	1	1	1	2	1	2	2	1	1	1	1	1	1	1	1	2	1	1	2	2	1	1	1	1	2	1	2	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0821_F03	ACL0821	2	2	2	1	2	1	1	2	2	2	2	1	1	2	1	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0821_H12	ACL0821	2	2	1	1	2	2	1	2	2	1	1	1	1	1	1	1	2	2	1	1	2	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0834Ext8_A11	ACL0834	2	2	1	1	2	1	1	2	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0834_D03	ACL0834	2	2	1	1	2	2	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0834_G04	ACL0834b	2	2	1	1	2	1	1	2	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0834_H10	ACL0834b	2	2	1	1	2	1	1	1	1	2	1	1	1	1	1	1	2	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0857Ext8_D05	ACL0857	2	2	2	1	2	2	1	2	1	1	1	1	1	1	1	1	2	2	2	1	2	2	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0857_E05	ACL0857	2	2	1	2	2	2	1	2	1	2	1	1	1	1	1	1	2	2	1	1	2	2	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	2	1	2	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0882_E07 	ACL0882	2	2	1	1	1	2	1	2	1	1	1	1	2	1	1	1	2	2	2	1	2	1	1	1	1	1	1	2	2	2	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0882_H11	ACL0882	2	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	2	2	2	1	2	1	1	1	1	1	1	1	2	2	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0931_F06	ACL0931	2	2	1	1	2	2	1	2	1	1	1	2	1	1	1	1	2	2	2	1	2	2	1	2	1	1	1	1	1	2	2	2	2	1	1	1	1	2	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0931_F07	ACL0931	2	2	1	1	2	2	1	2	1	1	1	2	1	1	1	1	2	2	2	1	2	2	1	1	1	1	1	1	1	2	2	2	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1
-ACL0992_F07	ACL0992	2	2	1	1	1	2	2	1	1	1	1	1	2	1	2	1	2	2	1	2	2	2	1	1	1	1	1	1	1	2	2	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0992_H06	ACL0992	2	2	1	1	1	1	2	1	2	1	1	2	2	1	1	1	2	2	1	2	2	1	1	1	1	1	1	2	1	2	2	1	2	1	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL4438_C09	ACL4438	2	2	1	1	1	2	1	2	1	2	1	1	1	1	2	1	1	2	1	1	2	2	1	1	1	2	2	1	1	1	2	1	1	2	1	1	2	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1
-ACL4438_D02	ACL4438	2	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	2	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1
-ACL4439_A12	ACL4439	2	2	2	1	2	2	1	2	2	2	1	1	1	2	1	1	1	2	2	1	2	2	2	1	2	1	2	2	2	1	2	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL4439_E04	ACL4439	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	2	2	2	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1026_B07	ACL1026	2	2	2	2	1	1	1	2	1	1	1	1	1	1	1	1	2	2	2	1	1	1	1	1	2	2	1	1	1	1	2	2	2	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1026_E03	ACL1026	2	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	2	2	2	1	1	1	1	1	2	2	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1045_C09	ACL1045	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1045Ext8_G07	ACL1045	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1047_A01	ACL1047	2	2	2	1	1	1	1	2	1	1	1	1	1	1	1	1	2	2	2	1	1	2	1	1	1	2	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1047_C01	ACL1047	2	2	1	1	1	1	1	2	1	2	1	1	1	1	1	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1051_G07	ACL1051	2	2	1	1	2	1	1	2	1	2	1	1	1	1	1	1	2	2	1	1	2	2	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1051_H03	ACL1051	2	2	1	1	2	1	1	2	1	2	1	1	1	2	1	1	2	2	1	2	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	2	1	1	2	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1055_A10	ACL1055	2	2	1	1	2	2	1	1	1	2	1	1	1	1	1	2	2	2	2	1	1	2	1	1	2	1	1	1	2	1	2	1	1	1	1	1	1	1	2	2	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1055Ext8_H07	ACL1055	2	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	2	1	1	1	2	1	1	1	1	1	1	2	1	2	1	1	1	1	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1058_A03 	ACL1058	2	1	1	1	2	2	1	2	1	2	1	1	1	2	1	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1058_H03	ACL1058	2	2	1	2	1	2	1	2	1	2	1	1	1	1	1	2	2	2	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1071_B11	ACL1071	2	2	1	2	1	1	1	2	1	2	1	1	1	1	1	1	2	2	2	1	1	1	1	1	2	2	1	1	1	2	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1071_G07	ACL1071	2	2	1	2	1	1	1	2	1	2	2	1	1	1	2	1	2	2	2	1	1	1	1	1	2	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1077_B03	ACL1077	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1077Ext8_F09	ACL1077	2	2	1	2	2	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1084_F11	ACL1084	2	2	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1084_H01	ACL1084	2	2	1	1	1	2	2	1	1	1	1	1	1	1	2	1	1	1	2	1	2	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1092_A07	ACL1092	2	2	1	2	1	2	2	2	1	1	1	1	1	1	1	1	2	2	2	2	1	1	1	1	2	1	1	2	2	1	2	2	1	1	2	1	2	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1092_C03 	ACL1092	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	2	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1112_B09 	ACL1112	2	2	1	2	1	1	1	2	1	2	1	1	1	1	1	1	2	2	2	1	1	1	1	1	2	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1112_D12	ACL1112	2	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	2	2	2	1	1	1	1	1	2	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1116Ext8_G09	ACL1116	2	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1116_H05	ACL1116	1	2	2	2	1	1	1	2	1	1	1	2	2	1	1	2	1	2	2	1	1	1	1	1	2	1	2	1	1	1	2	2	1	1	1	1	1	1	2	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1118_A11	ACL1118	2	2	2	1	1	1	1	2	1	1	1	1	1	2	1	1	2	2	2	1	1	1	2	1	2	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1
-ACL1118_C10 	ACL1118	2	2	1	1	2	1	1	2	1	1	1	1	1	1	1	1	2	2	2	1	1	1	2	1	2	1	1	1	1	1	2	2	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1122_E12	ACL1122	2	2	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1122_H09 	ACL1122	1	2	1	1	1	1	1	2	1	1	1	1	1	1	2	1	2	2	2	1	2	1	1	1	2	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1124_C03	ACL1124	2	2	2	1	2	1	1	2	1	2	1	1	1	1	2	1	1	2	2	2	2	1	1	1	2	2	2	1	1	1	2	2	1	1	2	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1
-ACL1124_E03	ACL1124	2	2	2	1	1	1	1	2	1	2	1	1	1	1	2	1	2	2	2	2	2	1	1	1	2	2	2	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1
-ACL1135_A02	ACL1135	2	2	1	2	1	1	1	2	1	2	1	1	2	1	1	1	2	2	2	1	1	1	1	1	2	2	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1135_C03	ACL1135	2	2	1	2	1	1	1	2	1	2	1	1	2	1	1	1	2	2	2	1	1	1	1	1	2	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1137_D11 	ACL1137	2	2	2	1	1	1	1	2	1	1	1	1	1	1	1	1	2	2	2	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1137_G01	ACL1137	2	2	2	1	1	1	1	2	2	1	2	1	1	1	1	1	2	2	2	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1156_G12	ACL1156	2	2	1	2	2	2	1	2	1	2	1	1	1	1	1	2	1	2	2	1	1	2	1	1	2	2	2	1	1	1	2	1	1	1	1	1	1	2	2	1	1	2	1	1	1	1	2	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1156Ext5_C06	ACL1156	1	2	1	1	2	1	1	2	1	2	1	1	1	1	2	1	2	2	1	1	2	1	1	1	2	2	1	1	1	1	2	1	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1170_A12	ACL1170	2	2	1	2	1	1	1	2	1	2	1	1	1	1	1	1	2	2	2	1	1	1	1	1	2	2	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1170_G04	ACL1170	2	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	2	2	2	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1194_C08	ACL1194	2	2	1	1	1	2	1	2	1	1	1	1	1	1	2	1	2	2	2	1	1	1	1	1	2	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1194_E10 	ACL1194	2	2	1	1	2	2	2	2	1	1	1	1	1	1	1	1	2	2	2	1	1	1	1	1	2	2	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1205_B07 	ACL1205	2	1	2	2	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1205Ext8_F03	ACL1205	2	1	2	2	2	2	2	2	1	2	1	1	2	1	2	1	2	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1210_B03 	ACL1210	2	1	2	1	2	1	1	2	1	2	2	2	1	2	2	2	1	2	2	1	1	1	1	1	1	2	1	1	1	2	2	1	1	2	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1210_E09 	ACL1210	2	1	2	1	1	1	1	1	1	1	1	1	1	1	2	1	2	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1215Ext8_E11	ACL1215	2	2	1	1	1	2	1	2	1	2	1	1	1	1	1	2	2	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1215_H04	ACL1215	2	2	2	1	2	2	1	2	1	2	1	1	1	1	2	1	2	2	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	2	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL4239_F04	ACL4239	2	2	1	1	1	1	2	2	1	1	1	1	1	1	2	1	2	2	2	2	1	1	1	1	2	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL4239_A08	ACL4239	2	2	1	1	1	1	1	2	1	1	1	1	1	1	2	1	2	2	2	2	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL4277_E06	ACL4277	2	2	2	2	1	1	1	2	1	1	1	1	1	1	2	1	2	2	2	1	1	1	2	1	2	1	1	1	1	1	2	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL4277_F02	ACL4277	2	2	2	2	1	1	1	2	1	1	1	1	1	1	2	1	2	2	2	1	1	1	2	1	2	1	1	1	1	1	2	1	1	1	2	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL4422_C07 	ACL4422	2	2	1	1	2	2	1	2	1	2	1	1	2	1	2	2	2	2	2	2	2	2	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1
-ACL4422Ext8_F05	ACL4422	2	2	1	1	2	2	1	2	1	2	1	1	1	1	1	1	2	2	1	1	2	2	2	1	1	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1
-ACL4448_F01	ACL4448	2	2	1	2	2	1	1	2	1	1	1	1	2	2	2	1	2	2	2	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL4448Ext8_B05	ACL4448	2	2	1	2	1	1	1	2	1	1	1	1	2	1	1	1	1	2	2	1	2	1	1	1	2	2	1	1	1	1	2	1	1	1	2	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-END																																																																																								
+// Example of AFLP dataset to be used to estimate the broad-sense heritability (H2) of each AFLP marker, following Ley & Hardy 2013 (Mol Ecol, in press). 																																																																																								
+// 60 individuals were typed at 87 AFLP markers in two independent runs. 2= band present, 1=band absent.																																																																																								
+// The broad-sense heritability of each marker is estimated by computing the Fst among categories (i.e. among individuals in this case). 																																																																																								
+// Permutation tests allow an adequate test of the null hypothesis that h2=0.																																																																																								
+// Note that the dataset is formated as for an haploid organism (6th format digit = 1) rather than as for a dominant marker.																																																																																								
+120	60	0	87	1	1																																																																																			
+0																																																																																								
+DuplicatedSample	Individual	L2_49.028	L2_73.956	L2_76.676	L2_99.967	L2_104.329	L2_108.254	L2_110.877	L2_112.862	L2_120.619	L2_124.114	L2_132.803	L2_137.654	L2_140.171	L2_145.326	L2_152.477	L2_156.359	L2_158.63	L2_165.548	L2_167.746	L2_172.133	L2_174.139	L2_177.405	L2_181.708	L2_186.238	L2_189.442	L2_192.638	L2_194.814	L2_203.315	L2_205.541	L2_210.75	L2_213.437	L2_215.552	L2_220.847	L2_224.507	L2_231.012	L2_233.35	L2_236.311	L2_242.786	L2_248.061	L2_253.731	L2_255.955	L2_258.065	L2_264.35	L2_267.775	L2_273.067	L2_276.011	L2_279.8	L2_281.833	L2_284.267	L2_288.619	L2_304.8	L2_309.28	L2_312.291	L2_314.443	L2_329.1	L2_332.6	L2_336.1	L2_337.95	L2_339.92	L2_343.336	L2_347	L2_354.3	L2_359	L2_361.9	L2_363.2	L2_366.3	L2_374.638	L2_378.305	L2_381.62	L2_382.95	L2_387.6	L2_392.987	L2_395.9	L2_398.3	L2_405.6	L2_421.3	L2_428.75	L2_433.163	L2_441.8	L2_451.54	L2_456.8	L2_462.967	L2_464.847	L2_483.1	L2_485.8	L2_492.4	L2_493.5
+ACL0035_F07 	ACL0035	2	2	1	1	1	1	1	2	1	2	2	1	1	1	1	1	2	2	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0035_D11	ACL0035	2	2	2	1	1	1	1	2	1	1	2	1	2	1	1	1	2	2	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0037_A02	ACL0037	2	2	1	1	1	2	1	2	1	1	1	1	1	1	1	2	1	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0037_H01	ACL0037	2	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	2	2	1	1	2	2	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0040_A01	ACL0040	2	2	2	1	1	1	1	2	1	1	2	1	2	1	2	1	2	2	2	1	2	2	1	1	2	2	1	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0040Ext8_A07	ACL0040	2	2	1	1	1	1	1	2	1	2	1	2	1	1	1	1	1	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0040_A08 	ACL0040b	2	2	2	1	1	1	1	2	1	1	1	1	2	1	2	1	2	2	2	1	2	2	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0040_D01	ACL0040b	2	2	1	1	1	1	1	2	1	1	1	1	1	2	1	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0048_A03	ACL0048	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	2	2	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1
+ACL0048_A04	ACL0048	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1
+ACL0049_G11	ACL0049	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	2	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0049Ext8_A11	ACL0049	2	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	2	2	2	1	2	1	1	1	1	1	2	1	1	1	2	1	1	1	2	1	1	2	1	1	2	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0051_F12	ACL0051	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	2	2	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0051Ext8_G05	ACL0051	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0058_A03	ACL0058	2	2	2	1	1	2	2	2	1	1	1	1	1	2	1	1	1	2	2	1	2	1	2	1	1	2	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	2	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0058Ext8_A01	ACL0058	2	2	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0624_C04	ACL0624	2	2	1	1	1	1	1	2	1	2	1	1	1	1	1	1	2	2	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0624_C10	ACL0624	2	2	2	1	1	1	1	2	2	2	1	1	1	1	2	1	2	2	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0651_C07	ACL0651	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	2	1	2	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1
+ACL0651Ext8_E01	ACL0651	2	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	2	2	1	2	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0663_B01	ACL0663	2	2	1	1	1	1	1	2	2	1	2	1	2	2	2	1	2	2	1	1	2	2	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0663_D05	ACL0663	2	2	2	1	1	1	2	2	1	2	2	1	2	1	2	1	2	2	1	1	2	2	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0692_F04	ACL0692	2	2	1	2	1	2	1	2	1	1	1	1	1	1	2	2	2	2	2	1	2	2	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0692_H09	ACL0692	2	2	1	2	1	1	1	2	1	1	1	1	1	1	1	2	2	2	2	1	2	2	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0697_E01	ACL0697	2	2	1	1	2	2	1	2	1	2	1	1	1	1	1	1	2	2	1	1	2	2	1	2	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0697_E10	ACL0697	2	2	1	1	1	2	1	2	1	2	1	1	1	1	1	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0709_C02	ACL0709	2	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	2	1	1	2	2	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0709_C08 	ACL0709	2	2	1	1	1	1	2	2	1	1	1	1	2	1	2	1	2	2	2	1	2	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1
+ACL0709_C11	ACL0709b	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	2	1	1	2	2	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0709_F07	ACL0709b	2	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0711Ext8_A09	ACL0711	2	2	2	1	1	2	1	2	1	1	1	1	2	1	2	1	2	2	1	1	2	2	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0711_H07	ACL0711	2	2	2	1	1	2	1	2	1	1	1	1	2	1	1	1	2	2	1	1	2	2	1	2	1	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0719_B02	ACL0719	2	2	1	2	2	2	1	2	1	1	2	1	1	1	1	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0719_D06	ACL0719	2	2	1	2	1	2	1	2	1	1	1	1	1	1	2	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0720_G06	ACL0720	2	2	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	2	1	1	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0720_C07 	ACL0720	2	2	1	1	2	1	1	2	1	2	1	1	1	1	1	1	2	2	2	1	2	1	2	1	1	1	1	1	1	2	2	2	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0721_E09	ACL0721	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	2	1	2	1	1	1	1	1	2	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0721_F03	ACL0721	2	2	1	1	2	2	1	2	1	1	1	1	1	1	1	1	1	2	1	1	2	2	2	1	1	2	2	1	1	1	2	2	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0724_A09	ACL0724	2	2	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	2	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0724_A10	ACL0724	2	2	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0736_B02	ACL0736	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0736_D07 	ACL0736	2	2	1	1	1	1	1	2	1	1	1	1	2	1	1	1	2	2	2	1	2	1	2	1	1	1	1	1	1	1	2	1	2	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1
+ACL0744_D04	ACL0744	2	2	1	1	1	1	2	2	1	2	1	1	1	2	2	1	2	1	2	1	2	1	2	1	2	2	1	1	1	2	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0744_E09	ACL0744	2	2	1	1	1	2	2	2	1	1	1	1	1	2	1	1	2	1	1	1	2	1	2	1	1	2	1	1	2	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0776_F02	ACL0776	2	2	1	1	1	2	1	2	1	1	2	1	1	1	1	1	1	2	1	1	2	2	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0776_F10	ACL0776	2	2	1	1	1	2	1	2	1	1	2	1	1	1	1	1	1	2	1	1	2	2	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0792_A11	ACL0792	2	2	1	1	1	2	1	2	2	1	1	1	1	1	1	1	1	2	1	1	2	2	1	1	1	2	1	1	2	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0792_G01	ACL0792	2	2	1	1	1	2	1	2	2	1	1	1	1	1	1	1	1	2	1	1	2	2	1	1	1	1	2	1	2	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0821_F03	ACL0821	2	2	2	1	2	1	1	2	2	2	2	1	1	2	1	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0821_H12	ACL0821	2	2	1	1	2	2	1	2	2	1	1	1	1	1	1	1	2	2	1	1	2	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0834Ext8_A11	ACL0834	2	2	1	1	2	1	1	2	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0834_D03	ACL0834	2	2	1	1	2	2	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0834_G04	ACL0834b	2	2	1	1	2	1	1	2	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0834_H10	ACL0834b	2	2	1	1	2	1	1	1	1	2	1	1	1	1	1	1	2	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0857Ext8_D05	ACL0857	2	2	2	1	2	2	1	2	1	1	1	1	1	1	1	1	2	2	2	1	2	2	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0857_E05	ACL0857	2	2	1	2	2	2	1	2	1	2	1	1	1	1	1	1	2	2	1	1	2	2	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	2	1	2	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0882_E07 	ACL0882	2	2	1	1	1	2	1	2	1	1	1	1	2	1	1	1	2	2	2	1	2	1	1	1	1	1	1	2	2	2	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0882_H11	ACL0882	2	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	2	2	2	1	2	1	1	1	1	1	1	1	2	2	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0931_F06	ACL0931	2	2	1	1	2	2	1	2	1	1	1	2	1	1	1	1	2	2	2	1	2	2	1	2	1	1	1	1	1	2	2	2	2	1	1	1	1	2	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0931_F07	ACL0931	2	2	1	1	2	2	1	2	1	1	1	2	1	1	1	1	2	2	2	1	2	2	1	1	1	1	1	1	1	2	2	2	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1
+ACL0992_F07	ACL0992	2	2	1	1	1	2	2	1	1	1	1	1	2	1	2	1	2	2	1	2	2	2	1	1	1	1	1	1	1	2	2	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0992_H06	ACL0992	2	2	1	1	1	1	2	1	2	1	1	2	2	1	1	1	2	2	1	2	2	1	1	1	1	1	1	2	1	2	2	1	2	1	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL4438_C09	ACL4438	2	2	1	1	1	2	1	2	1	2	1	1	1	1	2	1	1	2	1	1	2	2	1	1	1	2	2	1	1	1	2	1	1	2	1	1	2	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1
+ACL4438_D02	ACL4438	2	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	2	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1
+ACL4439_A12	ACL4439	2	2	2	1	2	2	1	2	2	2	1	1	1	2	1	1	1	2	2	1	2	2	2	1	2	1	2	2	2	1	2	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL4439_E04	ACL4439	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	2	2	2	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1026_B07	ACL1026	2	2	2	2	1	1	1	2	1	1	1	1	1	1	1	1	2	2	2	1	1	1	1	1	2	2	1	1	1	1	2	2	2	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1026_E03	ACL1026	2	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	2	2	2	1	1	1	1	1	2	2	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1045_C09	ACL1045	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1045Ext8_G07	ACL1045	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1047_A01	ACL1047	2	2	2	1	1	1	1	2	1	1	1	1	1	1	1	1	2	2	2	1	1	2	1	1	1	2	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1047_C01	ACL1047	2	2	1	1	1	1	1	2	1	2	1	1	1	1	1	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1051_G07	ACL1051	2	2	1	1	2	1	1	2	1	2	1	1	1	1	1	1	2	2	1	1	2	2	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1051_H03	ACL1051	2	2	1	1	2	1	1	2	1	2	1	1	1	2	1	1	2	2	1	2	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	2	1	1	2	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1055_A10	ACL1055	2	2	1	1	2	2	1	1	1	2	1	1	1	1	1	2	2	2	2	1	1	2	1	1	2	1	1	1	2	1	2	1	1	1	1	1	1	1	2	2	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1055Ext8_H07	ACL1055	2	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	2	1	1	1	2	1	1	1	1	1	1	2	1	2	1	1	1	1	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1058_A03 	ACL1058	2	1	1	1	2	2	1	2	1	2	1	1	1	2	1	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1058_H03	ACL1058	2	2	1	2	1	2	1	2	1	2	1	1	1	1	1	2	2	2	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1071_B11	ACL1071	2	2	1	2	1	1	1	2	1	2	1	1	1	1	1	1	2	2	2	1	1	1	1	1	2	2	1	1	1	2	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1071_G07	ACL1071	2	2	1	2	1	1	1	2	1	2	2	1	1	1	2	1	2	2	2	1	1	1	1	1	2	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1077_B03	ACL1077	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1077Ext8_F09	ACL1077	2	2	1	2	2	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1084_F11	ACL1084	2	2	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1084_H01	ACL1084	2	2	1	1	1	2	2	1	1	1	1	1	1	1	2	1	1	1	2	1	2	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1092_A07	ACL1092	2	2	1	2	1	2	2	2	1	1	1	1	1	1	1	1	2	2	2	2	1	1	1	1	2	1	1	2	2	1	2	2	1	1	2	1	2	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1092_C03 	ACL1092	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	2	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1112_B09 	ACL1112	2	2	1	2	1	1	1	2	1	2	1	1	1	1	1	1	2	2	2	1	1	1	1	1	2	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1112_D12	ACL1112	2	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	2	2	2	1	1	1	1	1	2	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1116Ext8_G09	ACL1116	2	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1116_H05	ACL1116	1	2	2	2	1	1	1	2	1	1	1	2	2	1	1	2	1	2	2	1	1	1	1	1	2	1	2	1	1	1	2	2	1	1	1	1	1	1	2	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1118_A11	ACL1118	2	2	2	1	1	1	1	2	1	1	1	1	1	2	1	1	2	2	2	1	1	1	2	1	2	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1
+ACL1118_C10 	ACL1118	2	2	1	1	2	1	1	2	1	1	1	1	1	1	1	1	2	2	2	1	1	1	2	1	2	1	1	1	1	1	2	2	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1122_E12	ACL1122	2	2	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1122_H09 	ACL1122	1	2	1	1	1	1	1	2	1	1	1	1	1	1	2	1	2	2	2	1	2	1	1	1	2	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1124_C03	ACL1124	2	2	2	1	2	1	1	2	1	2	1	1	1	1	2	1	1	2	2	2	2	1	1	1	2	2	2	1	1	1	2	2	1	1	2	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1
+ACL1124_E03	ACL1124	2	2	2	1	1	1	1	2	1	2	1	1	1	1	2	1	2	2	2	2	2	1	1	1	2	2	2	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1
+ACL1135_A02	ACL1135	2	2	1	2	1	1	1	2	1	2	1	1	2	1	1	1	2	2	2	1	1	1	1	1	2	2	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1135_C03	ACL1135	2	2	1	2	1	1	1	2	1	2	1	1	2	1	1	1	2	2	2	1	1	1	1	1	2	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1137_D11 	ACL1137	2	2	2	1	1	1	1	2	1	1	1	1	1	1	1	1	2	2	2	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1137_G01	ACL1137	2	2	2	1	1	1	1	2	2	1	2	1	1	1	1	1	2	2	2	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1156_G12	ACL1156	2	2	1	2	2	2	1	2	1	2	1	1	1	1	1	2	1	2	2	1	1	2	1	1	2	2	2	1	1	1	2	1	1	1	1	1	1	2	2	1	1	2	1	1	1	1	2	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1156Ext5_C06	ACL1156	1	2	1	1	2	1	1	2	1	2	1	1	1	1	2	1	2	2	1	1	2	1	1	1	2	2	1	1	1	1	2	1	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1170_A12	ACL1170	2	2	1	2	1	1	1	2	1	2	1	1	1	1	1	1	2	2	2	1	1	1	1	1	2	2	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1170_G04	ACL1170	2	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	2	2	2	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1194_C08	ACL1194	2	2	1	1	1	2	1	2	1	1	1	1	1	1	2	1	2	2	2	1	1	1	1	1	2	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1194_E10 	ACL1194	2	2	1	1	2	2	2	2	1	1	1	1	1	1	1	1	2	2	2	1	1	1	1	1	2	2	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1205_B07 	ACL1205	2	1	2	2	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1205Ext8_F03	ACL1205	2	1	2	2	2	2	2	2	1	2	1	1	2	1	2	1	2	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1210_B03 	ACL1210	2	1	2	1	2	1	1	2	1	2	2	2	1	2	2	2	1	2	2	1	1	1	1	1	1	2	1	1	1	2	2	1	1	2	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1210_E09 	ACL1210	2	1	2	1	1	1	1	1	1	1	1	1	1	1	2	1	2	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1215Ext8_E11	ACL1215	2	2	1	1	1	2	1	2	1	2	1	1	1	1	1	2	2	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1215_H04	ACL1215	2	2	2	1	2	2	1	2	1	2	1	1	1	1	2	1	2	2	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	2	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL4239_F04	ACL4239	2	2	1	1	1	1	2	2	1	1	1	1	1	1	2	1	2	2	2	2	1	1	1	1	2	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL4239_A08	ACL4239	2	2	1	1	1	1	1	2	1	1	1	1	1	1	2	1	2	2	2	2	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL4277_E06	ACL4277	2	2	2	2	1	1	1	2	1	1	1	1	1	1	2	1	2	2	2	1	1	1	2	1	2	1	1	1	1	1	2	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL4277_F02	ACL4277	2	2	2	2	1	1	1	2	1	1	1	1	1	1	2	1	2	2	2	1	1	1	2	1	2	1	1	1	1	1	2	1	1	1	2	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL4422_C07 	ACL4422	2	2	1	1	2	2	1	2	1	2	1	1	2	1	2	2	2	2	2	2	2	2	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1
+ACL4422Ext8_F05	ACL4422	2	2	1	1	2	2	1	2	1	2	1	1	1	1	1	1	2	2	1	1	2	2	2	1	1	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1
+ACL4448_F01	ACL4448	2	2	1	2	2	1	1	2	1	1	1	1	2	2	2	1	2	2	2	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL4448Ext8_B05	ACL4448	2	2	1	2	1	1	1	2	1	1	1	1	2	1	1	1	1	2	2	1	2	1	1	1	2	2	1	1	1	1	2	1	1	1	2	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+END																																																																																								
diff --git a/example_data/DataAFLP-kinship_estimation_corrected_by_heritability.txt b/example_data/DataAFLP-kinship_estimation_corrected_by_heritability.txt
index e4b28c6..708745f 100644
--- a/example_data/DataAFLP-kinship_estimation_corrected_by_heritability.txt
+++ b/example_data/DataAFLP-kinship_estimation_corrected_by_heritability.txt
@@ -1,209 +1,210 @@
-// Example of AFLP dataset to estimate pairwise kinship coefficients according to distance when the broad-sense heritability (H2) of each AFLP marker is given, following Ley & Hardy 2013 (Mol Ecol, in press). 																																																																																										
-// 197 individuals were typed at 87 AFLP markers, as indicated by the 1st and 4th format numbers.																																																																																										
-// The 5th format number =0 indicates that the data set corresponds to dominant markers where 2= band present, 1=band absent, 0=missing data. An alternative notation could have been to set the 5th format number to a negative number (e.g. -9) in which case the phenotypes would have been interpreted as 1= band present, 0=band absent, -9=missing data. 																																																																																										
-// The 3rd format number =-2 indicates that the spatial coordinates of each individual are given in latitude and longitude (in this order) in degrees. 																																																																																										
-// The second line indicates that there are 7 distances classes defined by the upper distances, which are in km when spatial coordinates are given in degrees latitude and longitude (3rd format number=-2)																																																																																										
-// The 2nd format number=2 indicates tha there are two categories of individuals. Here, these two categories design the morpho-species ('Danckel', 'Lieb'). This allows computing kinship-distance curves for pairs of inviduduals belonging to the same or different morpho-species.																																																																																										
-// The broad-sense heritability of each marker is given at the end, just after the line with END (cf. other dataset example to see how to estimate H2)																																																																																										
-197	2	-2	87	0	2																																																																																					
-7	10	20	50	100	200	300	400																																																																																			
-ID	Cat	Lat	Long	L2_49.028	L2_73.956	L2_76.676	L2_99.967	L2_104.329	L2_108.254	L2_110.877	L2_112.862	L2_120.619	L2_124.114	L2_132.803	L2_137.654	L2_140.171	L2_145.326	L2_152.477	L2_156.359	L2_158.63	L2_165.548	L2_167.746	L2_172.133	L2_174.139	L2_177.405	L2_181.708	L2_186.238	L2_189.442	L2_192.638	L2_194.814	L2_203.315	L2_205.541	L2_210.75	L2_213.437	L2_215.552	L2_220.847	L2_224.507	L2_231.012	L2_233.35	L2_236.311	L2_242.786	L2_248.061	L2_253.731	L2_255.955	L2_258.065	L2_264.35	L2_267.775	L2_273.067	L2_276.011	L2_279.8	L2_281.833	L2_284.267	L2_288.619	L2_304.8	L2_309.28	L2_312.291	L2_314.443	L2_329.1	L2_332.6	L2_336.1	L2_337.95	L2_339.92	L2_343.336	L2_347	L2_354.3	L2_359	L2_361.9	L2_363.2	L2_366.3	L2_374.638	L2_378.305	L2_381.62	L2_382.95	L2_387.6	L2_392.987	L2_395.9	L2_398.3	L2_405.6	L2_421.3	L2_428.75	L2_433.163	L2_441.8	L2_451.54	L2_456.8	L2_462.967	L2_464.847	L2_483.1	L2_485.8	L2_492.4	L2_493.5
-ACL0035_D11	Danckel	-19.3556	1394.7333	2	2	2	1	1	1	1	2	1	1	2	1	2	1	1	1	2	2	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0037_A02	Danckel	-18.2278	1389.3593	2	2	1	1	1	2	1	2	1	1	1	1	1	1	1	2	1	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0038_A01	Danckel	9.9037	1523.4704	2	2	1	1	1	2	1	2	1	2	2	2	2	2	1	1	2	2	2	2	2	2	1	1	1	2	2	1	2	1	2	1	1	1	1	1	1	1	1	1	1	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0040_D01	Danckel	10.9426	1523.313	2	2	1	1	1	1	1	2	1	1	1	1	1	2	1	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0041_B01	Danckel	-21.0407	1395.437	2	2	1	1	1	2	1	2	1	2	2	1	1	2	2	1	2	2	1	1	2	2	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0043_B05	Danckel	64.3167	1250.6593	2	2	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1
-ACL0044_F09	Danckel	59.0241	1237.9648	1	2	1	1	1	1	1	2	1	1	1	1	1	1	2	2	2	2	1	1	2	2	1	1	1	2	1	1	2	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0045_D10	Danckel	67.9796	1245.963	2	2	1	2	1	1	1	2	1	2	1	1	2	1	2	1	2	1	2	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0046_G10	Danckel	63.3630	1037.5722	2	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	2	2	1	1	2	1	1	1	1	1	1	1	1	2	2	2	1	1	1	1	1	2	1	1	2	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0048_A04	Danckel	64.0759	1036.9722	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1
-ACL0049Ext8_A11	Danckel	45.9870	1054.463	2	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	2	2	2	1	2	1	1	1	1	1	2	1	1	1	2	1	1	1	2	1	1	2	1	1	2	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0050_D01	Danckel	46.2426	1054.2426	2	2	1	1	1	1	1	2	1	1	2	1	1	2	1	1	2	2	1	2	2	1	2	1	1	2	1	1	1	2	2	1	1	1	2	2	1	2	1	1	2	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1
-ACL0051Ext8_G05	Danckel	96.3389	1502.1333	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0052_B08 	Danckel	95.9130	1502.4093	2	2	2	1	1	2	1	2	1	2	1	1	1	1	2	1	2	2	1	1	2	2	1	1	2	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0054_F08	Danckel	94.7222	1506.1093	2	2	1	2	1	1	1	2	1	2	1	1	1	1	2	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1
-ACL0055_D10 	Danckel	96.0704	1505.7111	2	2	2	2	1	2	1	2	1	1	1	1	2	1	2	1	2	2	1	1	1	2	1	1	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0057_H11	Danckel	-216.5537	1309.2296	2	2	2	2	1	2	2	2	2	1	2	1	2	1	1	2	1	1	2	2	1	2	2	1	1	2	1	2	1	1	2	2	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0058_A03	Danckel	-216.8019	1309.3278	2	2	2	1	1	2	2	2	1	1	1	1	1	2	1	1	1	2	2	1	2	1	2	1	1	2	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	2	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0059_A05	Danckel	-216.7333	1309.0278	2	2	1	1	1	2	1	2	1	2	1	1	1	2	1	1	1	2	1	1	2	2	2	1	1	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	2	2	1	2	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0079_D04	Danckel	-114.2074	1253.963	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	2	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0616_G02	Danckel	67.5648	1246.0778	2	2	1	2	1	1	1	2	1	1	1	2	1	1	2	1	2	2	2	1	2	2	1	1	2	2	1	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0617_A04	Danckel	67.2889	1245.9481	2	2	1	2	1	2	1	2	1	2	2	1	1	1	1	1	2	2	1	1	2	2	1	2	1	1	1	1	2	1	2	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0624_C10	Danckel	62.8907	1039.8722	2	2	2	1	1	1	1	2	2	2	1	1	1	1	2	1	2	2	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0626_B03	Danckel	62.9222	1039.9944	2	2	1	1	1	1	1	2	1	2	1	1	2	1	1	1	2	2	1	2	2	1	1	1	2	1	1	1	1	2	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1
-ACL0627_G01	Danckel	62.8722	1039.9759	2	2	1	1	2	1	1	2	1	1	1	1	1	1	1	1	2	2	1	1	2	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1
-ACL0648_F06	Danckel	200.5778	1290.9407	2	2	1	1	2	2	1	2	1	1	1	1	1	1	2	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0651Ext8_E01	Danckel	200.5926	1288.9481	2	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	2	2	1	2	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0653_E02	Danckel	201.4204	1290.3944	2	2	1	1	2	2	1	2	1	1	1	1	1	1	2	1	2	2	1	1	2	2	1	1	2	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0656_B01	Danckel	150.7944	1289.987	1	1	2	1	1	2	1	2	1	1	2	1	1	1	2	1	2	1	1	1	1	2	1	1	1	2	1	1	1	1	2	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	2
-ACL0663_D05	Danckel	194.9185	1289.6963	2	2	2	1	1	1	2	2	1	2	2	1	2	1	2	1	2	2	1	1	2	2	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0677_C04	Danckel	10.6759	1523.387	2	1	2	2	1	1	2	2	1	1	2	1	1	1	1	1	2	2	2	1	2	2	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0686_D08 	Danckel	96.1667	1502.35	2	2	1	1	1	2	1	2	1	1	1	2	1	1	1	2	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0692_F04	Danckel	111.5315	1466.1667	2	2	1	2	1	2	1	2	1	1	1	1	1	1	2	2	2	2	2	1	2	2	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0693_C06	Danckel	111.6185	1466.2074	2	2	1	1	1	2	1	2	1	2	1	1	2	1	1	1	2	2	2	1	2	2	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0697_E10	Danckel	120.8519	1466.7111	2	2	1	1	1	2	1	2	1	2	1	1	1	1	1	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0698_C05	Danckel	86.3963	1459.6889	2	2	1	1	1	1	1	2	1	2	2	1	2	1	1	1	2	2	1	1	2	2	1	1	1	1	2	1	1	2	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0699_F05	Danckel	87.5444	1458.6981	2	2	1	1	1	2	1	2	1	2	1	1	1	1	1	1	2	2	2	1	2	2	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0702_C12	Danckel	24.6944	1500.113	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0709_C02	Danckel	24.7222	1500.1741	2	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	2	1	1	2	2	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0710_G08	Danckel	24.6444	1500.0667	2	2	1	1	1	2	1	2	1	1	1	1	1	1	2	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0711_H07	Danckel	87.6796	1458.6019	2	2	2	1	1	2	1	2	1	1	1	1	2	1	1	1	2	2	1	1	2	2	1	2	1	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0714_H04	Danckel	87.2870	1458.7667	2	2	2	1	2	2	1	2	1	2	2	1	1	1	2	1	2	2	1	1	2	2	1	1	1	1	2	2	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0715_H11	Danckel	86.9963	1458.9074	2	2	1	1	1	1	1	2	1	1	1	1	2	1	1	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0719_B02	Danckel	135.7278	1287.5685	2	2	1	2	2	2	1	2	1	1	2	1	1	1	1	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0720_G06	Danckel	-258.8074	1178.7204	2	2	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	2	1	1	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0721_F03	Danckel	-258.8500	1178.8741	2	2	1	1	2	2	1	2	1	1	1	1	1	1	1	1	1	2	1	1	2	2	2	1	1	2	2	1	1	1	2	2	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0724_A09	Danckel	-258.9481	1179.0093	2	2	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	2	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0732_B04	Danckel	-186.7463	1150.2981	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0736_B02	Danckel	-186.7481	1150.3444	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0737_D07	Danckel	-184.3648	1148.65	2	2	1	1	2	2	1	2	1	2	1	1	1	2	2	1	1	2	2	1	2	1	2	1	1	1	2	1	1	1	2	1	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0739_E01	Danckel	-184.4574	1148.65	2	2	1	1	2	1	1	2	1	1	1	1	2	2	1	1	2	2	2	1	1	1	2	1	1	2	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0744_E09	Danckel	-184.7148	1148.6685	2	2	1	1	1	2	2	2	1	1	1	1	1	2	1	1	2	1	1	1	2	1	2	1	1	2	1	1	2	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0750_B10	Danckel	-184.1796	1147.937	2	2	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0753_E08	Danckel	-184.0593	1147.7463	2	2	1	1	1	1	1	2	1	2	1	1	2	2	2	1	1	2	1	1	1	1	2	1	1	2	2	1	1	2	2	2	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0768_D10	Danckel	68.0815	1245.8556	2	2	1	1	2	2	1	2	1	2	1	2	1	1	1	1	2	2	2	1	2	2	1	1	1	2	2	1	1	1	2	1	1	1	1	1	1	1	1	2	2	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0770_C02	Danckel	67.4093	1245.3778	2	2	1	1	1	2	2	2	1	1	2	2	1	1	1	1	2	2	1	1	2	2	1	1	2	1	1	1	2	1	2	1	2	1	1	1	1	1	1	1	2	1	1	2	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0773_F05	Danckel	62.5167	1234.3926	2	2	1	1	1	2	1	2	1	2	1	1	1	1	1	1	2	2	1	1	2	2	1	1	2	1	2	1	1	1	2	1	1	1	1	1	1	2	1	2	1	2	1	2	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0776_F02	Danckel	-18.7167	1388.8111	2	2	1	1	1	2	1	2	1	1	2	1	1	1	1	1	1	2	1	1	2	2	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0777_B10	Danckel	-19.5185	1393.0037	2	2	1	1	1	2	1	2	1	2	1	1	1	1	1	1	2	2	2	1	1	2	2	1	1	2	2	1	1	1	2	2	1	1	1	1	2	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0778_H02	Danckel	-19.5759	1393.037	2	2	1	1	1	2	1	2	1	1	2	1	1	1	1	1	2	2	2	1	2	2	1	1	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0780_E08	Danckel	-19.7185	1393.1037	2	2	2	1	1	2	1	2	1	1	1	1	2	2	1	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1
-ACL0781_B07	Danckel	-19.8815	1393.2481	2	2	1	1	1	2	1	2	1	1	1	1	1	2	1	1	2	2	2	1	2	2	1	2	1	2	2	1	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0792_G01	Danckel	-20.5685	1395.25	2	2	1	1	1	2	1	2	2	1	1	1	1	1	1	1	1	2	1	1	2	2	1	1	1	1	2	1	2	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0794_A10	Danckel	-19.2704	1394.8093	2	2	1	1	1	2	1	2	1	1	1	2	1	2	1	1	1	2	2	1	2	2	1	2	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0798_C12	Danckel	-18.2796	1389.1315	2	2	1	1	1	2	1	2	1	2	2	1	1	1	1	2	1	2	2	1	1	2	1	1	2	1	1	2	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0799_C11	Danckel	-18.5148	1389.0833	2	2	1	1	1	1	1	2	1	2	1	1	1	1	1	2	1	2	1	1	2	2	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0810_E12	Danckel	69.6000	1155.1481	2	2	1	1	2	2	1	2	1	2	1	2	1	1	2	1	1	2	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0820_G12	Danckel	68.0611	1155.9759	2	2	1	1	2	1	1	2	1	1	1	1	2	1	2	1	2	2	1	1	1	1	1	2	1	2	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0821_F03	Danckel	51.6296	1142.0889	2	2	2	1	2	1	1	2	2	2	2	1	1	2	1	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0831_C05	Danckel	52.6963	1141.8444	2	2	1	1	1	1	1	2	2	1	1	1	1	2	2	1	2	2	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0832_D01	Danckel	50.1833	1131.363	2	2	1	1	2	1	1	2	1	2	1	1	1	1	1	1	2	2	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0834Ext8_A11	Danckel	50.1963	1131.7259	2	2	1	1	2	1	1	2	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0846_H04	Danckel	238.9422	1797.4633	2	2	2	1	1	1	1	2	1	1	1	1	1	1	1	1	2	2	1	2	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1
-ACL0853_D09	Danckel	233.7222	1810.4989	2	2	2	1	1	2	2	2	1	1	1	1	2	1	1	1	2	2	1	1	2	2	1	1	1	2	1	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1
-ACL0857Ext8_D05	Danckel	373.0963	1415.0611	2	2	2	1	2	2	1	2	1	1	1	1	1	1	1	1	2	2	2	1	2	2	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0876_H05	Danckel	370.0870	1417.4241	2	2	2	1	2	2	1	2	2	2	1	1	1	1	2	1	2	2	2	2	2	2	1	1	2	1	1	2	1	1	2	1	2	1	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0882_B09	Danckel	368.9889	1183.513	2	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	2	2	2	1	2	1	1	1	2	1	1	1	2	2	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0883_D08	Danckel	367.5778	1183.3926	2	2	1	1	1	2	1	2	1	1	1	1	2	1	1	1	2	2	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0886_E12	Danckel	358.8426	1178.4648	2	2	1	1	2	1	2	2	1	2	1	2	1	1	1	1	2	2	1	1	2	2	1	1	2	2	1	1	1	1	2	1	2	1	2	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1
-ACL0887_G04	Danckel	359.7000	1177.8537	2	2	1	1	1	2	1	2	1	1	1	2	2	2	1	1	2	2	1	1	2	1	1	1	1	1	1	1	1	1	2	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0901_H08	Danckel	360.8519	1177.2296	2	2	1	1	2	1	1	2	1	1	1	2	2	1	1	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1
-ACL0912_B03	Danckel	376.8315	1413.8444	2	2	2	2	2	2	1	2	1	1	1	1	2	1	1	1	2	2	2	1	2	2	1	1	1	2	1	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0915_H01	Danckel	375.0611	1414.9222	2	2	2	1	2	2	1	2	1	1	2	1	1	2	1	1	2	2	2	1	2	1	1	1	2	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0921_B06	Danckel	374.6352	1414.7315	2	2	2	1	2	2	1	2	1	1	1	1	1	1	2	1	2	2	2	1	2	2	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0925_H06	Danckel	374.4759	1414.5926	2	2	2	2	2	2	1	2	1	1	1	1	1	1	1	1	2	2	1	1	2	2	1	1	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0926_G05	Danckel	360.1222	1178.2611	2	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	2	1	1	1	1	1	1	1	1	1	2	1	2	1	1	1	1	1	2	2	1	2	1	2	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1
-ACL0930_C11	Danckel	420.3833	1228.9833	2	2	1	1	2	2	1	2	1	1	1	1	1	1	1	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1
-ACL0931_F07	Danckel	426.9259	1216.5389	2	2	1	1	2	2	1	2	1	1	1	2	1	1	1	1	2	2	2	1	2	2	1	1	1	1	1	1	1	2	2	2	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1
-ACL0941_H05	Danckel	421.7833	1133.6889	2	2	1	1	2	2	1	2	1	2	1	2	1	1	1	1	2	2	2	1	2	2	1	1	2	2	2	1	1	1	2	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0951_G02 	Danckel	422.0648	1134.5019	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0956_B08	Danckel	436.7778	1118.9241	2	2	1	1	1	2	1	2	1	1	1	1	2	1	2	1	2	2	2	2	2	2	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1
-ACL0961_D07 	Danckel	429.1148	1119.4833	2	2	1	1	1	2	2	1	1	2	1	1	2	1	2	1	2	2	2	1	2	1	1	1	2	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1
-ACL0963_G03	Danckel	303.5185	1097.1574	2	2	1	1	2	2	1	2	1	2	1	1	1	1	1	1	2	2	2	1	2	1	1	1	1	2	1	1	1	1	2	1	2	1	1	1	1	1	1	1	2	1	1	2	1	1	1	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0969_B10 	Danckel	302.4500	1097.1778	2	2	2	1	2	2	2	2	1	1	1	1	2	1	1	1	2	2	1	2	2	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1
-ACL0974_D03	Danckel	299.5222	1096.0204	2	2	2	1	1	2	2	1	1	1	1	1	1	1	1	1	2	2	1	1	2	1	1	1	1	1	1	1	1	1	2	1	2	1	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1
-ACL0979_H02	Danckel	295.1815	1096.0241	2	2	2	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	2	1	1	1	1	1	1	1	1	1	2	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0983_C01	Danckel	295.0093	1096.2019	2	2	1	1	2	2	2	1	1	1	1	1	1	1	1	1	2	2	2	1	2	2	1	2	1	2	1	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0987_G04	Danckel	311.5519	1114.9519	2	2	1	1	2	1	1	2	1	1	1	2	1	1	1	1	2	2	1	1	2	1	1	1	1	1	1	1	1	1	2	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0989_H10 	Danckel	311.5222	1114.6981	2	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	2	2	2	1	2	1	1	1	1	1	1	1	1	2	2	1	2	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0992_F07	Danckel	311.3981	1114.2704	2	2	1	1	1	2	2	1	1	1	1	1	2	1	2	1	2	2	1	2	2	2	1	1	1	1	1	1	1	2	2	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL0994_D06	Danckel	311.3241	1113.8352	2	2	1	1	1	1	1	2	1	1	1	2	1	1	1	1	2	2	2	1	2	2	1	1	1	1	1	1	2	1	2	1	2	1	1	1	1	1	1	1	2	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1003_B09	Danckel	310.9574	1113.3093	2	2	1	1	2	2	1	2	1	1	1	1	1	2	1	1	2	2	2	1	2	1	1	1	1	1	1	1	1	1	2	1	2	1	1	1	2	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	2	1	1	1	1	1	2	2	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1
-ACL1004_G09	Danckel	311.2722	1115.1685	2	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	2	2	2	1	2	2	1	1	1	2	1	1	1	1	2	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1008_F12	Danckel	311.2019	1115.2	2	2	2	1	1	2	1	1	1	1	1	1	1	1	1	1	2	2	2	1	2	1	1	1	1	1	1	1	1	1	2	1	2	1	1	1	1	1	1	1	2	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1011_C03	Danckel	367.0778	1183.2167	2	2	1	1	1	2	1	2	1	1	1	2	1	1	1	1	2	2	1	1	2	1	1	1	1	1	1	1	2	1	2	2	1	1	1	1	1	1	1	1	2	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1
-ACL4182_D12	Danckel	-127.1111	1174.8889	2	2	1	2	2	1	1	2	1	1	1	1	1	1	1	1	2	2	2	1	1	1	1	1	2	2	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	2	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1
-ACL4206_C02	Danckel	41.6667	1138.0111	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL4300_B12 	Danckel	34.1000	1386.8778	2	2	1	1	1	2	1	2	1	2	1	1	1	1	1	1	2	2	1	1	2	2	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL4435_C04	Danckel	-90.8796	1452.7667	2	2	1	1	1	2	1	2	1	2	1	2	1	2	1	1	2	2	1	2	2	2	1	2	1	2	2	1	1	1	2	1	1	1	1	1	2	1	1	1	2	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL4438_C09	Danckel	-90.2778	1452.9167	2	2	1	1	1	2	1	2	1	2	1	1	1	1	2	1	1	2	1	1	2	2	1	1	1	2	2	1	1	1	2	1	1	2	1	1	2	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1
-ACL4439_E04	Danckel	-90.2778	1452.9167	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	2	2	2	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL4440_A06	Danckel	-90.2778	1452.9167	2	2	1	1	1	1	1	2	2	1	2	1	1	2	1	1	1	2	1	1	2	2	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1019_F10	Lieb	-118.0481	1222.137	2	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	2	2	2	1	1	1	1	2	2	2	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1023_F04	Lieb	-118.5593	1222.4963	2	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	1	2	1	1	1	1	2	2	2	1	1	1	1	2	1	1	2	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1026_B07	Lieb	-124.9074	1237.2019	2	2	2	2	1	1	1	2	1	1	1	1	1	1	1	1	2	2	2	1	1	1	1	1	2	2	1	1	1	1	2	2	2	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1029_C08	Lieb	-125.2648	1237.2315	2	2	2	2	1	1	1	2	1	2	1	1	2	1	1	1	2	2	1	1	1	1	1	2	2	1	2	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1034_G10 	Lieb	-113.0333	1252.2222	2	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	2	2	2	1	1	1	1	1	2	2	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1035_H06	Lieb	-114.4704	1253.8648	2	2	1	2	1	1	1	1	1	2	1	1	1	1	1	1	2	2	2	1	1	1	1	1	1	2	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1040_D02	Lieb	-115.3870	1253.9278	2	2	1	2	1	1	1	2	1	1	1	1	2	2	2	1	1	2	2	1	1	2	1	1	2	1	1	1	1	2	2	2	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1043_D11	Lieb	95.0685	1505.8741	1	2	1	2	2	2	1	2	1	2	1	1	1	1	1	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1045Ext8_G07	Lieb	95.7574	1505.6574	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1047Ext8_A05	Lieb	11.0870	1523.3463	2	2	1	2	1	1	1	2	1	1	2	1	1	1	2	1	2	2	1	1	2	1	1	1	2	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1049_D07 	Lieb	10.7907	1523.3722	2	2	2	1	2	2	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1051_G02	Lieb	10.9741	1523.3259	2	2	1	1	2	1	1	2	1	2	1	1	1	1	1	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1052_E08	Lieb	-113.8778	1253.7648	2	2	1	2	1	1	1	2	1	2	1	1	1	1	1	1	2	2	2	1	1	1	1	1	2	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1053_H03 	Lieb	95.7981	1502.0407	1	2	1	2	1	2	2	2	2	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1055_A10	Lieb	96.1648	1502.137	2	2	1	1	2	2	1	1	1	2	1	1	1	1	1	2	2	2	2	1	1	2	1	1	2	1	1	1	2	1	2	1	1	1	1	1	1	1	2	2	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1056_F01 	Lieb	111.4204	1466.213	2	2	1	1	1	2	1	2	1	2	1	1	2	2	1	1	2	2	1	1	2	2	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1058_H03	Lieb	24.6944	1500.113	2	2	1	2	1	2	1	2	1	2	1	1	1	1	1	2	2	2	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1060_C12 	Lieb	24.1315	1499.3111	2	1	2	1	2	1	1	2	1	1	1	1	1	2	1	1	2	1	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1
-ACL1063_G09	Lieb	95.9889	1505.6815	2	1	1	1	2	1	1	2	1	1	1	1	1	1	2	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1064_D05	Lieb	96.1593	1505.6685	1	2	1	1	1	2	2	2	2	1	1	1	1	1	2	2	1	1	1	2	2	1	1	1	1	2	1	1	1	2	1	1	1	1	1	2	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1066_E05	Lieb	-112.3704	1252.7648	2	2	1	2	1	1	1	2	1	1	1	1	1	1	2	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1071_B11	Lieb	-105.6593	1250.3685	2	2	1	2	1	1	1	2	1	2	1	1	1	1	1	1	2	2	2	1	1	1	1	1	2	2	1	1	1	2	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1077_B03	Lieb	-117.4519	1269.687	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1081_D02	Lieb	-125.9185	1275.0944	2	2	1	2	2	1	1	2	2	2	1	1	1	2	1	1	1	2	2	1	1	2	2	1	1	2	2	1	2	1	2	2	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1084_H01	Lieb	-127.9389	1276.4	2	2	1	1	1	2	2	1	1	1	1	1	1	1	2	1	1	1	2	1	2	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1088_F11	Lieb	-74.3778	1136.2241	2	2	1	2	1	1	1	2	1	1	1	1	1	1	2	1	1	2	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1090_D06	Lieb	-201.2889	1226.8463	2	2	1	2	1	1	1	2	1	1	1	1	1	1	2	1	2	2	2	1	1	1	1	1	1	2	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1092_A07	Lieb	-199.5926	1227.3222	2	2	1	2	1	2	2	2	1	1	1	1	1	1	1	1	2	2	2	2	1	1	1	1	2	1	1	2	2	1	2	2	1	1	2	1	2	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1093_F10	Lieb	-202.5796	1227.0204	2	2	1	2	2	1	1	2	1	2	1	1	1	1	1	1	1	2	2	1	1	2	2	1	2	2	2	1	1	1	2	2	2	1	2	1	1	2	2	1	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1094_D12	Lieb	-202.9185	1227.1926	2	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	2	2	1	2	1	1	1	1	2	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1097_A06	Lieb	-284.0815	1192.4352	2	2	1	1	1	2	1	2	1	1	1	1	1	1	2	1	1	2	2	1	1	2	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1102_H08	Lieb	-282.7574	1194.9574	2	2	2	1	1	1	1	2	1	2	1	1	1	1	1	1	2	2	2	1	1	2	1	1	2	1	1	2	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1105_G05 	Lieb	-282.5481	1195.1685	2	2	2	1	1	1	1	2	1	1	1	1	1	1	1	1	2	2	2	1	1	2	1	1	2	2	2	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1109_H07	Lieb	-283.1426	1193.9593	2	2	2	2	2	2	1	2	1	1	1	1	1	1	1	1	2	2	1	1	1	2	2	1	2	1	1	1	1	1	2	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1112_D12	Lieb	-258.6907	1177.3074	2	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	2	2	2	1	1	1	1	1	2	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1116_D11	Lieb	-257.4667	1176.7778	2	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1117_F09	Lieb	-257.6778	1176.5667	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	2	2	1	1	2	1	1	2	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1118_A11	Lieb	-258.8852	1178.4444	2	2	2	1	1	1	1	2	1	1	1	1	1	2	1	1	2	2	2	1	1	1	2	1	2	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1
-ACL1120_B02	Lieb	-259.1944	1178.887	2	2	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	2	2	1	2	1	1	1	2	1	2	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1122_E12	Lieb	-259.1778	1178.787	2	2	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1123_C11	Lieb	-188.0148	1150.7778	1	2	1	2	1	1	1	2	1	2	1	1	1	1	1	1	1	2	2	1	2	1	1	1	2	1	1	1	1	1	2	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1124_C03	Lieb	-185.6093	1149.4944	2	2	2	1	2	1	1	2	1	2	1	1	1	1	2	1	1	2	2	2	2	1	1	1	2	2	2	1	1	1	2	2	1	1	2	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1
-ACL1125_F08	Lieb	-184.3630	1148.637	2	2	2	2	1	2	1	2	1	1	1	1	1	1	1	1	2	2	2	1	1	2	1	1	2	1	1	2	1	1	2	2	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1126_B12	Lieb	-184.4630	1148.5407	2	2	1	2	2	1	1	2	1	2	1	1	1	1	1	1	2	2	2	1	1	1	1	1	2	1	2	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1127_C05	Lieb	-192.3722	1154.9407	2	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	2	1	1	1	1	2	2	1	1	1	1	1	2	2	1	2	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1128_D01	Lieb	-137.3685	1175.8352	1	1	1	1	1	1	2	1	2	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1129_H02	Lieb	-90.7852	1151.9963	2	2	2	1	1	1	1	1	1	2	1	1	1	1	1	1	2	2	2	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	2	1	2	1	2	1	1	2	1	1	1	1	1	1	2	1	1	1	1	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1130_D09	Lieb	-69.0389	1137.2019	2	2	2	2	1	1	1	2	1	1	1	1	1	1	2	1	2	2	2	1	2	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1
-ACL1132_E03	Lieb	-68.6741	1138.4352	2	2	2	1	1	1	1	2	1	2	1	1	1	1	1	1	2	2	2	1	1	1	1	1	2	2	2	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1135_A02	Lieb	-68.7074	1138.9111	2	2	1	2	1	1	1	2	1	2	1	1	2	1	1	1	2	2	2	1	1	1	1	1	2	2	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1137_G01	Lieb	-68.7148	1138.7852	2	2	2	1	1	1	1	2	2	1	2	1	1	1	1	1	2	2	2	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1139_B04 	Lieb	67.5833	1246.1667	2	2	2	1	1	1	1	2	1	1	1	1	1	1	2	1	2	2	2	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1143_A09	Lieb	67.2852	1246.013	2	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	2	2	1	2	1	1	2	1	2	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1148_D12	Lieb	67.9241	1246.05	2	2	2	2	1	1	1	2	1	1	1	1	2	1	1	1	2	2	2	1	2	1	1	1	2	2	1	1	1	1	2	1	1	1	2	1	1	2	1	1	1	1	1	1	1	2	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1151_F12	Lieb	63.7833	1250.4148	2	2	1	2	1	2	1	2	2	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	2	1	1	1	1	2	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1156_G12	Lieb	63.0352	1250.7	2	2	1	2	2	2	1	2	1	2	1	1	1	1	1	2	1	2	2	1	1	2	1	1	2	2	2	1	1	1	2	1	1	1	1	1	1	2	2	1	1	2	1	1	1	1	2	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1158_G06	Lieb	63.0889	1250.9352	2	2	1	1	1	1	1	2	1	2	1	1	1	1	2	1	2	2	1	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1160_G06	Lieb	66.1981	1245.213	2	2	1	2	1	1	1	2	2	1	1	1	2	1	2	1	2	2	1	1	1	1	1	1	2	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1162_B05	Lieb	66.9926	1244.4148	2	2	2	2	1	1	1	2	1	1	1	1	1	1	1	1	2	2	2	1	1	1	1	1	2	2	2	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1166_G03	Lieb	66.6611	1244.0796	2	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	2	2	2	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1170_A12	Lieb	66.5056	1245.2204	2	2	1	2	1	1	1	2	1	2	1	1	1	1	1	1	2	2	2	1	1	1	1	1	2	2	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1172_G12	Lieb	66.3259	1244.9648	2	2	1	2	1	1	1	2	1	1	1	1	2	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1176_B10	Lieb	62.3815	1234.7981	2	2	1	2	1	1	1	2	1	1	1	1	2	1	1	1	2	2	2	1	1	1	1	1	2	2	1	1	1	1	2	1	1	1	2	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1181_D03 	Lieb	62.3685	1234.4741	2	2	1	2	1	1	1	2	1	1	1	1	2	1	1	1	2	2	2	1	1	1	1	1	2	2	2	1	1	1	2	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1186_G08	Lieb	59.1815	1237.7963	2	2	1	2	1	1	1	2	1	2	1	2	1	1	1	1	2	2	1	1	2	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	2	1	2	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1189_E06 	Lieb	58.4444	1238.0759	2	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	2	2	2	1	1	1	1	1	2	2	2	1	1	1	2	2	1	1	2	1	1	2	1	1	1	2	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1192_C10	Lieb	-17.0778	1193.3315	2	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1194_C08	Lieb	-17.0056	1193.3315	2	2	1	1	1	2	1	2	1	1	1	1	1	1	2	1	2	2	2	1	1	1	1	1	2	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1198_E07	Lieb	-16.7130	1192.6907	2	2	1	1	1	1	1	2	1	1	1	1	1	1	2	1	2	2	2	1	1	1	1	1	2	2	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1203_D10	Lieb	-18.6889	1388.8722	2	2	2	2	1	1	1	2	1	2	1	1	1	1	2	1	2	2	2	1	2	1	1	1	1	2	1	1	1	1	2	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	2	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1205Ext8_F03	Lieb	50.3944	1131.0148	2	1	2	2	2	2	2	2	1	2	1	1	2	1	2	1	2	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1210_E09 	Lieb	50.6481	1130.7315	2	1	2	1	1	1	1	1	1	1	1	1	1	1	2	1	2	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1212_E06	Lieb	50.7148	1130.6463	2	2	1	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1214_H11	Lieb	55.0259	1241.9444	1	2	1	2	2	1	1	2	1	2	1	1	2	1	1	1	2	2	1	1	1	2	1	1	2	2	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1215_H04	Lieb	133.6267	1865.42	2	2	2	1	2	2	1	2	1	2	1	1	1	1	2	1	2	2	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	2	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL1217_C09	Lieb	135.5667	1870.8889	2	2	2	1	2	2	1	1	1	2	1	1	2	1	1	1	2	2	1	1	2	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1
-ACL4152_E10	Danckel	37.6667	1023.8889	2	2	1	2	1	1	1	2	1	2	1	2	2	1	1	1	2	2	2	1	2	1	1	1	1	2	1	1	1	2	2	2	2	1	1	1	1	2	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL4175_A04	Lieb	27.7778	1032.6667	2	2	1	1	1	1	1	2	1	1	1	2	1	1	1	1	2	2	1	1	2	1	1	1	1	2	1	1	1	2	2	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL4200_D08	Lieb	21.7000	1117.2778	2	2	1	2	1	1	1	2	1	2	2	1	1	1	1	1	2	2	2	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL4239_F04	Lieb	-14.3000	1261.1444	2	2	1	1	1	1	2	2	1	1	1	1	1	1	2	1	2	2	2	2	1	1	1	1	2	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL4277_E06	Lieb	-13.7889	1262.5889	2	2	2	2	1	1	1	2	1	1	1	1	1	1	2	1	2	2	2	1	1	1	2	1	2	1	1	1	1	1	2	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL4286_E11	Lieb	-360.7000	1156.7889	2	1	1	2	1	1	1	2	1	2	1	1	2	1	1	1	2	2	1	1	1	1	1	1	2	2	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL4422Ext8_F05	Lieb	417.4167	1251.7778	2	2	1	1	2	2	1	2	1	2	1	1	1	1	1	1	2	2	1	1	2	2	2	1	1	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1
-ACL4448Ext8_B05	Lieb	-33.5630	1300.2815	2	2	1	2	1	1	1	2	1	1	1	1	2	1	1	1	1	2	2	1	2	1	1	1	2	2	1	1	1	1	2	1	1	1	2	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-ACL4451_B08	Lieb	-32.1167	1300.6259	2	2	1	1	1	1	1	2	1	1	1	1	2	1	1	1	2	2	1	1	1	1	1	1	2	2	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
-END																																																																																										
-H2				0	0.7944	0.3859	0.7646	0.4821	0.4026	0.4032	0.6446	0.3528	0.4815	0.4512	0.3059	0.444	0.0824	0.2081	0.307	0.286	0.8506	0.4732	0.704	0.7648	0.8674	0.9432	0.4709	0.7783	0.1873	0.1076	0.3811	0.745	0.5693	0.2494	0.7783	0.4064	0.8506	0.2045	0	0	0.5889	0.4709	0.4892	0.402	-0.1028	0	0.1245	1	0.6629	0	0.3432	1	0.6347	0	1	0.6999	0.4892	0	0	0	0	0	1	0	0	0	0	0	0	0.6629	0.6709	0	1	0	0.8028	0	1	0	1	0	0	0	0.6629	0	0.6629	0.4892	0	0	0	0
+// Example of AFLP dataset to estimate pairwise kinship coefficients according to distance when the broad-sense heritability (H2) of each AFLP marker is given, following Ley & Hardy 2013 (Mol Ecol, 22:1984-1997). 																																																																																										
+// 197 individuals were typed at 87 AFLP markers, as indicated by the 1st and 4th format numbers.																																																																																										
+// The 2nd format number=2 indicates that there are two categories of individuals. Here, these two categories design the morpho-species ('Danckel', 'Lieb'). This allows computing kinship-distance curves for pairs of inviduduals belonging to the same or different morpho-species.																																																																																										
+// The 3rd format number =-2 indicates that the spatial coordinates of each individual are given in latitude and longitude (in this order) in degrees. 																																																																																										
+// The 5th format number =0 indicates that the data set corresponds to dominant markers where 2= band present, 1=band absent, 0=missing data. An alternative notation could have been to set the 5th format number to a negative number (e.g. -9) in which case the phenotypes would have been interpreted as 1= band present, 0=band absent, -9=missing data. 																																																																																										
+// The 6th format number =2 indicates that the genome is diploid (currently SPAGeDi can treat dominant data only for diploids).																																																																																										
+// The second line indicates that there are 7 distances classes defined by the upper distances, which are in km when spatial coordinates are given in degrees latitude and longitude (3rd format number=-2)																																																																																										
+// The broad-sense heritability of each marker is given at the end, just after the line with END, on a line that must start with "H2". This line can be ommited, in which case the broad-sense heritability of each marker is assumed to be H2=1 (cf. other dataset example to see how to estimate H2)																																																																																										
+197	2	-2	87	0	2																																																																																					
+7	10	20	50	100	200	300	400																																																																																			
+ID	Cat	Lat	Long	L2_49.028	L2_73.956	L2_76.676	L2_99.967	L2_104.329	L2_108.254	L2_110.877	L2_112.862	L2_120.619	L2_124.114	L2_132.803	L2_137.654	L2_140.171	L2_145.326	L2_152.477	L2_156.359	L2_158.63	L2_165.548	L2_167.746	L2_172.133	L2_174.139	L2_177.405	L2_181.708	L2_186.238	L2_189.442	L2_192.638	L2_194.814	L2_203.315	L2_205.541	L2_210.75	L2_213.437	L2_215.552	L2_220.847	L2_224.507	L2_231.012	L2_233.35	L2_236.311	L2_242.786	L2_248.061	L2_253.731	L2_255.955	L2_258.065	L2_264.35	L2_267.775	L2_273.067	L2_276.011	L2_279.8	L2_281.833	L2_284.267	L2_288.619	L2_304.8	L2_309.28	L2_312.291	L2_314.443	L2_329.1	L2_332.6	L2_336.1	L2_337.95	L2_339.92	L2_343.336	L2_347	L2_354.3	L2_359	L2_361.9	L2_363.2	L2_366.3	L2_374.638	L2_378.305	L2_381.62	L2_382.95	L2_387.6	L2_392.987	L2_395.9	L2_398.3	L2_405.6	L2_421.3	L2_428.75	L2_433.163	L2_441.8	L2_451.54	L2_456.8	L2_462.967	L2_464.847	L2_483.1	L2_485.8	L2_492.4	L2_493.5
+ACL0035_D11	Danckel	-0.1742004	12.5525997	2	2	2	1	1	1	1	2	1	1	2	1	2	1	1	1	2	2	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0037_A02	Danckel	-0.1640502	12.5042337	2	2	1	1	1	2	1	2	1	1	1	1	1	1	1	2	1	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0038_A01	Danckel	0.0891333	13.7112336	2	2	1	1	1	2	1	2	1	2	2	2	2	2	1	1	2	2	2	2	2	2	1	1	1	2	2	1	2	1	2	1	1	1	1	1	1	1	1	1	1	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0040_D01	Danckel	0.0984834	13.709817	2	2	1	1	1	1	1	2	1	1	1	1	1	2	1	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0041_B01	Danckel	-0.1893663	12.558933	2	2	1	1	1	2	1	2	1	2	2	1	1	2	2	1	2	2	1	1	2	2	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0043_B05	Danckel	0.5788503	11.2559337	2	2	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1
+ACL0044_F09	Danckel	0.5312169	11.1416832	1	2	1	1	1	1	1	2	1	1	1	1	1	1	2	2	2	2	1	1	2	2	1	1	1	2	1	1	2	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0045_D10	Danckel	0.6118164	11.213667	2	2	1	2	1	1	1	2	1	2	1	1	2	1	2	1	2	1	2	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0046_G10	Danckel	0.570267	9.3381498	2	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	2	2	1	1	2	1	1	1	1	1	1	1	1	2	2	2	1	1	1	1	1	2	1	1	2	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0048_A04	Danckel	0.5766831	9.3327498	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1
+ACL0049Ext8_A11	Danckel	0.413883	9.490167	2	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	2	2	2	1	2	1	1	1	1	1	2	1	1	1	2	1	1	1	2	1	1	2	1	1	2	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0050_D01	Danckel	0.4161834	9.4881834	2	2	1	1	1	1	1	2	1	1	2	1	1	2	1	1	2	2	1	2	2	1	2	1	1	2	1	1	1	2	2	1	1	1	2	2	1	2	1	1	2	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1
+ACL0051Ext8_G05	Danckel	0.8670501	13.5191997	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0052_B08 	Danckel	0.863217	13.5216837	2	2	2	1	1	2	1	2	1	2	1	1	1	1	2	1	2	2	1	1	2	2	1	1	2	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0054_F08	Danckel	0.8524998	13.5549837	2	2	1	2	1	1	1	2	1	2	1	1	1	1	2	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1
+ACL0055_D10 	Danckel	0.8646336	13.5513999	2	2	2	2	1	2	1	2	1	1	1	1	2	1	2	1	2	2	1	1	1	2	1	1	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0057_H11	Danckel	-1.9489833	11.7830664	2	2	2	2	1	2	2	2	2	1	2	1	2	1	1	2	1	1	2	2	1	2	2	1	1	2	1	2	1	1	2	2	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0058_A03	Danckel	-1.9512171	11.7839502	2	2	2	1	1	2	2	2	1	1	1	1	1	2	1	1	1	2	2	1	2	1	2	1	1	2	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	2	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0059_A05	Danckel	-1.9505997	11.7812502	2	2	1	1	1	2	1	2	1	2	1	1	1	2	1	1	1	2	1	1	2	2	2	1	1	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	2	2	1	2	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0079_D04	Danckel	-1.0278666	11.285667	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	2	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0616_G02	Danckel	0.6080832	11.2147002	2	2	1	2	1	1	1	2	1	1	1	2	1	1	2	1	2	2	2	1	2	2	1	1	2	2	1	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0617_A04	Danckel	0.6056001	11.2135329	2	2	1	2	1	2	1	2	1	2	2	1	1	1	1	1	2	2	1	1	2	2	1	2	1	1	1	1	2	1	2	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0624_C10	Danckel	0.5660163	9.3588498	2	2	2	1	1	1	1	2	2	2	1	1	1	1	2	1	2	2	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0626_B03	Danckel	0.5662998	9.3599496	2	2	1	1	1	1	1	2	1	2	1	1	2	1	1	1	2	2	1	2	2	1	1	1	2	1	1	1	1	2	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1
+ACL0627_G01	Danckel	0.5658498	9.3597831	2	2	1	1	2	1	1	2	1	1	1	1	1	1	1	1	2	2	1	1	2	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1
+ACL0648_F06	Danckel	1.8052002	11.6184663	2	2	1	1	2	2	1	2	1	1	1	1	1	1	2	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0651Ext8_E01	Danckel	1.8053334	11.6005329	2	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	2	2	1	2	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0653_E02	Danckel	1.8127836	11.6135496	2	2	1	1	2	2	1	2	1	1	1	1	1	1	2	1	2	2	1	1	2	2	1	1	2	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0656_B01	Danckel	1.3571496	11.609883	1	1	2	1	1	2	1	2	1	1	2	1	1	1	2	1	2	1	1	1	1	2	1	1	1	2	1	1	1	1	2	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	2
+ACL0663_D05	Danckel	1.7542665	11.6072667	2	2	2	1	1	1	2	2	1	2	2	1	2	1	2	1	2	2	1	1	2	2	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0677_C04	Danckel	0.0960831	13.710483	2	1	2	2	1	1	2	2	1	1	2	1	1	1	1	1	2	2	2	1	2	2	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0686_D08 	Danckel	0.8655003	13.52115	2	2	1	1	1	2	1	2	1	1	1	2	1	1	1	2	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0692_F04	Danckel	1.0037835	13.1955003	2	2	1	2	1	2	1	2	1	1	1	1	1	1	2	2	2	2	2	1	2	2	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0693_C06	Danckel	1.0045665	13.1958666	2	2	1	1	1	2	1	2	1	2	1	1	2	1	1	1	2	2	2	1	2	2	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0697_E10	Danckel	1.0876671	13.2003999	2	2	1	1	1	2	1	2	1	2	1	1	1	1	1	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0698_C05	Danckel	0.7775667	13.1372001	2	2	1	1	1	1	1	2	1	2	2	1	2	1	1	1	2	2	1	1	2	2	1	1	1	1	2	1	1	2	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0699_F05	Danckel	0.7878996	13.1282829	2	2	1	1	1	2	1	2	1	2	1	1	1	1	1	1	2	2	2	1	2	2	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0702_C12	Danckel	0.2222496	13.501017	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0709_C02	Danckel	0.2224998	13.5015669	2	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	2	1	1	2	2	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0710_G08	Danckel	0.2217996	13.5006003	2	2	1	1	1	2	1	2	1	1	1	1	1	1	2	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0711_H07	Danckel	0.7891164	13.1274171	2	2	2	1	1	2	1	2	1	1	1	1	2	1	1	1	2	2	1	1	2	2	1	2	1	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0714_H04	Danckel	0.785583	13.1289003	2	2	2	1	2	2	1	2	1	2	2	1	1	1	2	1	2	2	1	1	2	2	1	1	1	1	2	2	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0715_H11	Danckel	0.7829667	13.1301666	2	2	1	1	1	1	1	2	1	1	1	1	2	1	1	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0719_B02	Danckel	1.2215502	11.5881165	2	2	1	2	2	2	1	2	1	1	2	1	1	1	1	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0720_G06	Danckel	-2.3292666	10.6084836	2	2	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	2	1	1	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0721_F03	Danckel	-2.32965	10.6098669	2	2	1	1	2	2	1	2	1	1	1	1	1	1	1	1	1	2	1	1	2	2	2	1	1	2	2	1	1	1	2	2	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0724_A09	Danckel	-2.3305329	10.6110837	2	2	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	2	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0732_B04	Danckel	-1.6807167	10.3526829	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0736_B02	Danckel	-1.6807329	10.3530996	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0737_D07	Danckel	-1.6592832	10.33785	2	2	1	1	2	2	1	2	1	2	1	1	1	2	2	1	1	2	2	1	2	1	2	1	1	1	2	1	1	1	2	1	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0739_E01	Danckel	-1.6601166	10.33785	2	2	1	1	2	1	1	2	1	1	1	1	2	2	1	1	2	2	2	1	1	1	2	1	1	2	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0744_E09	Danckel	-1.6624332	10.3380165	2	2	1	1	1	2	2	2	1	1	1	1	1	2	1	1	2	1	1	1	2	1	2	1	1	2	1	1	2	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0750_B10	Danckel	-1.6576164	10.331433	2	2	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0753_E08	Danckel	-1.6565337	10.3297167	2	2	1	1	1	1	1	2	1	2	1	1	2	2	2	1	1	2	1	1	1	1	2	1	1	2	2	1	1	2	2	2	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0768_D10	Danckel	0.6127335	11.2127004	2	2	1	1	2	2	1	2	1	2	1	2	1	1	1	1	2	2	2	1	2	2	1	1	1	2	2	1	1	1	2	1	1	1	1	1	1	1	1	2	2	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0770_C02	Danckel	0.6066837	11.2084002	2	2	1	1	1	2	2	2	1	1	2	2	1	1	1	1	2	2	1	1	2	2	1	1	2	1	1	1	2	1	2	1	2	1	1	1	1	1	1	1	2	1	1	2	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0773_F05	Danckel	0.5626503	11.1095334	2	2	1	1	1	2	1	2	1	2	1	1	1	1	1	1	2	2	1	1	2	2	1	1	2	1	2	1	1	1	2	1	1	1	1	1	1	2	1	2	1	2	1	2	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0776_F02	Danckel	-0.1684503	12.4992999	2	2	1	1	1	2	1	2	1	1	2	1	1	1	1	1	1	2	1	1	2	2	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0777_B10	Danckel	-0.1756665	12.5370333	2	2	1	1	1	2	1	2	1	2	1	1	1	1	1	1	2	2	2	1	1	2	2	1	1	2	2	1	1	1	2	2	1	1	1	1	2	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0778_H02	Danckel	-0.1761831	12.537333	2	2	1	1	1	2	1	2	1	1	2	1	1	1	1	1	2	2	2	1	2	2	1	1	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0780_E08	Danckel	-0.1774665	12.5379333	2	2	2	1	1	2	1	2	1	1	1	1	2	2	1	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1
+ACL0781_B07	Danckel	-0.1789335	12.5392329	2	2	1	1	1	2	1	2	1	1	1	1	1	2	1	1	2	2	2	1	2	2	1	2	1	2	2	1	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0792_G01	Danckel	-0.1851165	12.55725	2	2	1	1	1	2	1	2	2	1	1	1	1	1	1	1	1	2	1	1	2	2	1	1	1	1	2	1	2	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0794_A10	Danckel	-0.1734336	12.5532837	2	2	1	1	1	2	1	2	1	1	1	2	1	2	1	1	1	2	2	1	2	2	1	2	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0798_C12	Danckel	-0.1645164	12.5021835	2	2	1	1	1	2	1	2	1	2	2	1	1	1	1	2	1	2	2	1	1	2	1	1	2	1	1	2	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0799_C11	Danckel	-0.1666332	12.5017497	2	2	1	1	1	1	1	2	1	2	1	1	1	1	1	2	1	2	1	1	2	2	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0810_E12	Danckel	0.6264	10.3963329	2	2	1	1	2	2	1	2	1	2	1	2	1	1	2	1	1	2	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0820_G12	Danckel	0.6125499	10.4037831	2	2	1	1	2	1	1	2	1	1	1	1	2	1	2	1	2	2	1	1	1	1	1	2	1	2	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0821_F03	Danckel	0.4646664	10.2788001	2	2	2	1	2	1	1	2	2	2	2	1	1	2	1	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0831_C05	Danckel	0.4742667	10.2765996	2	2	1	1	1	1	1	2	2	1	1	1	1	2	2	1	2	2	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0832_D01	Danckel	0.4516497	10.182267	2	2	1	1	2	1	1	2	1	2	1	1	1	1	1	1	2	2	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0834Ext8_A11	Danckel	0.4517667	10.1855331	2	2	1	1	2	1	1	2	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0846_H04	Danckel	2.1504798	16.1771697	2	2	2	1	1	1	1	2	1	1	1	1	1	1	1	1	2	2	1	2	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1
+ACL0853_D09	Danckel	2.1034998	16.2944901	2	2	2	1	1	2	2	2	1	1	1	1	2	1	1	1	2	2	1	1	2	2	1	1	1	2	1	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1
+ACL0857Ext8_D05	Danckel	3.3578667	12.7355499	2	2	2	1	2	2	1	2	1	1	1	1	1	1	1	1	2	2	2	1	2	2	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0876_H05	Danckel	3.330783	12.7568169	2	2	2	1	2	2	1	2	2	2	1	1	1	1	2	1	2	2	2	2	2	2	1	1	2	1	1	2	1	1	2	1	2	1	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0882_B09	Danckel	3.3209001	10.651617	2	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	2	2	2	1	2	1	1	1	2	1	1	1	2	2	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0883_D08	Danckel	3.3082002	10.6505334	2	2	1	1	1	2	1	2	1	1	1	1	2	1	1	1	2	2	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0886_E12	Danckel	3.2295834	10.6061832	2	2	1	1	2	1	2	2	1	2	1	2	1	1	1	1	2	2	1	1	2	2	1	1	2	2	1	1	1	1	2	1	2	1	2	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1
+ACL0887_G04	Danckel	3.2373	10.6006833	2	2	1	1	1	2	1	2	1	1	1	2	2	2	1	1	2	2	1	1	2	1	1	1	1	1	1	1	1	1	2	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0901_H08	Danckel	3.2476671	10.5950664	2	2	1	1	2	1	1	2	1	1	1	2	2	1	1	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1
+ACL0912_B03	Danckel	3.3914835	12.7245996	2	2	2	2	2	2	1	2	1	1	1	1	2	1	1	1	2	2	2	1	2	2	1	1	1	2	1	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0915_H01	Danckel	3.3755499	12.7342998	2	2	2	1	2	2	1	2	1	1	2	1	1	2	1	1	2	2	2	1	2	1	1	1	2	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0921_B06	Danckel	3.3717168	12.7325835	2	2	2	1	2	2	1	2	1	1	1	1	1	1	2	1	2	2	2	1	2	2	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0925_H06	Danckel	3.3702831	12.7313334	2	2	2	2	2	2	1	2	1	1	1	1	1	1	1	1	2	2	1	1	2	2	1	1	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0926_G05	Danckel	3.2410998	10.6043499	2	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	2	1	1	1	1	1	1	1	1	1	2	1	2	1	1	1	1	1	2	2	1	2	1	2	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1
+ACL0930_C11	Danckel	3.7834497	11.0608497	2	2	1	1	2	2	1	2	1	1	1	1	1	1	1	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1
+ACL0931_F07	Danckel	3.8423331	10.9488501	2	2	1	1	2	2	1	2	1	1	1	2	1	1	1	1	2	2	2	1	2	2	1	1	1	1	1	1	1	2	2	2	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1
+ACL0941_H05	Danckel	3.7960497	10.2032001	2	2	1	1	2	2	1	2	1	2	1	2	1	1	1	1	2	2	2	1	2	2	1	1	2	2	2	1	1	1	2	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0951_G02 	Danckel	3.7985832	10.2105171	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0956_B08	Danckel	3.9310002	10.0703169	2	2	1	1	1	2	1	2	1	1	1	1	2	1	2	1	2	2	2	2	2	2	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1
+ACL0961_D07 	Danckel	3.8620332	10.0753497	2	2	1	1	1	2	2	1	1	2	1	1	2	1	2	1	2	2	2	1	2	1	1	1	2	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1
+ACL0963_G03	Danckel	2.7316665	9.8744166	2	2	1	1	2	2	1	2	1	2	1	1	1	1	1	1	2	2	2	1	2	1	1	1	1	2	1	1	1	1	2	1	2	1	1	1	1	1	1	1	2	1	1	2	1	1	1	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0969_B10 	Danckel	2.72205	9.8746002	2	2	2	1	2	2	2	2	1	1	1	1	2	1	1	1	2	2	1	2	2	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1
+ACL0974_D03	Danckel	2.6956998	9.8641836	2	2	2	1	1	2	2	1	1	1	1	1	1	1	1	1	2	2	1	1	2	1	1	1	1	1	1	1	1	1	2	1	2	1	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1
+ACL0979_H02	Danckel	2.6566335	9.8642169	2	2	2	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	2	1	1	1	1	1	1	1	1	1	2	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0983_C01	Danckel	2.6550837	9.8658171	2	2	1	1	2	2	2	1	1	1	1	1	1	1	1	1	2	2	2	1	2	2	1	2	1	2	1	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0987_G04	Danckel	2.8039671	10.0345671	2	2	1	1	2	1	1	2	1	1	1	2	1	1	1	1	2	2	1	1	2	1	1	1	1	1	1	1	1	1	2	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0989_H10 	Danckel	2.8036998	10.0322829	2	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	2	2	2	1	2	1	1	1	1	1	1	1	1	2	2	1	2	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0992_F07	Danckel	2.8025829	10.0284336	2	2	1	1	1	2	2	1	1	1	1	1	2	1	2	1	2	2	1	2	2	2	1	1	1	1	1	1	1	2	2	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL0994_D06	Danckel	2.8019169	10.0245168	2	2	1	1	1	1	1	2	1	1	1	2	1	1	1	1	2	2	2	1	2	2	1	1	1	1	1	1	2	1	2	1	2	1	1	1	1	1	1	1	2	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1003_B09	Danckel	2.7986166	10.0197837	2	2	1	1	2	2	1	2	1	1	1	1	1	2	1	1	2	2	2	1	2	1	1	1	1	1	1	1	1	1	2	1	2	1	1	1	2	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	2	1	1	1	1	1	2	2	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1
+ACL1004_G09	Danckel	2.8014498	10.0365165	2	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	2	2	2	1	2	2	1	1	1	2	1	1	1	1	2	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1008_F12	Danckel	2.8008171	10.0368	2	2	2	1	1	2	1	1	1	1	1	1	1	1	1	1	2	2	2	1	2	1	1	1	1	1	1	1	1	1	2	1	2	1	1	1	1	1	1	1	2	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1011_C03	Danckel	3.3037002	10.6489503	2	2	1	1	1	2	1	2	1	1	1	2	1	1	1	1	2	2	1	1	2	1	1	1	1	1	1	1	2	1	2	2	1	1	1	1	1	1	1	1	2	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1
+ACL4182_D12	Danckel	-1.1439999	10.5740001	2	2	1	2	2	1	1	2	1	1	1	1	1	1	1	1	2	2	2	1	1	1	1	1	2	2	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	2	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1
+ACL4206_C02	Danckel	0.3750003	10.2420999	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL4300_B12 	Danckel	0.3069	12.4819002	2	2	1	1	1	2	1	2	1	2	1	1	1	1	1	1	2	2	1	1	2	2	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL4435_C04	Danckel	-0.8179164	13.0749003	2	2	1	1	1	2	1	2	1	2	1	2	1	2	1	1	2	2	1	2	2	2	1	2	1	2	2	1	1	1	2	1	1	1	1	1	2	1	1	1	2	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL4438_C09	Danckel	-0.8125002	13.0762503	2	2	1	1	1	2	1	2	1	2	1	1	1	1	2	1	1	2	1	1	2	2	1	1	1	2	2	1	1	1	2	1	1	2	1	1	2	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1
+ACL4439_E04	Danckel	-0.8125002	13.0762503	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	2	2	2	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL4440_A06	Danckel	-0.8125002	13.0762503	2	2	1	1	1	1	1	2	2	1	2	1	1	2	1	1	1	2	1	1	2	2	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1019_F10	Lieb	-1.0624329	10.999233	2	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	2	2	2	1	1	1	1	2	2	2	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1023_F04	Lieb	-1.0670337	11.0024667	2	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	1	2	1	1	1	1	2	2	2	1	1	1	1	2	1	1	2	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1026_B07	Lieb	-1.1241666	11.1348171	2	2	2	2	1	1	1	2	1	1	1	1	1	1	1	1	2	2	2	1	1	1	1	1	2	2	1	1	1	1	2	2	2	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1029_C08	Lieb	-1.1273832	11.1350835	2	2	2	2	1	1	1	2	1	2	1	1	2	1	1	1	2	2	1	1	1	1	1	2	2	1	2	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1034_G10 	Lieb	-1.0172997	11.2699998	2	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	2	2	2	1	1	1	1	1	2	2	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1035_H06	Lieb	-1.0302336	11.2847832	2	2	1	2	1	1	1	1	1	2	1	1	1	1	1	1	2	2	2	1	1	1	1	1	1	2	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1040_D02	Lieb	-1.038483	11.2853502	2	2	1	2	1	1	1	2	1	1	1	1	2	2	2	1	1	2	2	1	1	2	1	1	2	1	1	1	1	2	2	2	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1043_D11	Lieb	0.8556165	13.5528669	1	2	1	2	2	2	1	2	1	2	1	1	1	1	1	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1045Ext8_G07	Lieb	0.8618166	13.5509166	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1047Ext8_A05	Lieb	0.099783	13.7101167	2	2	1	2	1	1	1	2	1	1	2	1	1	1	2	1	2	2	1	1	2	1	1	1	2	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1049_D07 	Lieb	0.0971163	13.7103498	2	2	2	1	2	2	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1051_G02	Lieb	0.0987669	13.7099331	2	2	1	1	2	1	1	2	1	2	1	1	1	1	1	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1052_E08	Lieb	-1.0249002	11.2838832	2	2	1	2	1	1	1	2	1	2	1	1	1	1	1	1	2	2	2	1	1	1	1	1	2	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1053_H03 	Lieb	0.8621829	13.5183663	1	2	1	2	1	2	2	2	2	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1055_A10	Lieb	0.8654832	13.519233	2	2	1	1	2	2	1	1	1	2	1	1	1	1	1	2	2	2	2	1	1	2	1	1	2	1	1	1	2	1	2	1	1	1	1	1	1	1	2	2	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1056_F01 	Lieb	1.0027836	13.195917	2	2	1	1	1	2	1	2	1	2	1	1	2	2	1	1	2	2	1	1	2	2	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1058_H03	Lieb	0.2222496	13.501017	2	2	1	2	1	2	1	2	1	2	1	1	1	1	1	2	2	2	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1060_C12 	Lieb	0.2171835	13.4937999	2	1	2	1	2	1	1	2	1	1	1	1	1	2	1	1	2	1	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1
+ACL1063_G09	Lieb	0.8639001	13.5511335	2	1	1	1	2	1	1	2	1	1	1	1	1	1	2	1	2	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1064_D05	Lieb	0.8654337	13.5510165	1	2	1	1	1	2	2	2	2	1	1	1	1	1	2	2	1	1	1	2	2	1	1	1	1	2	1	1	1	2	1	1	1	1	1	2	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1066_E05	Lieb	-1.0113336	11.2748832	2	2	1	2	1	1	1	2	1	1	1	1	1	1	2	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1071_B11	Lieb	-0.9509337	11.2533165	2	2	1	2	1	1	1	2	1	2	1	1	1	1	1	1	2	2	2	1	1	1	1	1	2	2	1	1	1	2	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1077_B03	Lieb	-1.0570671	11.427183	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1081_D02	Lieb	-1.1332665	11.4758496	2	2	1	2	2	1	1	2	2	2	1	1	1	2	1	1	1	2	2	1	1	2	2	1	1	2	2	1	2	1	2	2	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1084_H01	Lieb	-1.1514501	11.4876	2	2	1	1	1	2	2	1	1	1	1	1	1	1	2	1	1	1	2	1	2	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1088_F11	Lieb	-0.6694002	10.2260169	2	2	1	2	1	1	1	2	1	1	1	1	1	1	2	1	1	2	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1090_D06	Lieb	-1.8116001	11.0416167	2	2	1	2	1	1	1	2	1	1	1	1	1	1	2	1	2	2	2	1	1	1	1	1	1	2	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1092_A07	Lieb	-1.7963334	11.0458998	2	2	1	2	1	2	2	2	1	1	1	1	1	1	1	1	2	2	2	2	1	1	1	1	2	1	1	2	2	1	2	2	1	1	2	1	2	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1093_F10	Lieb	-1.8232164	11.0431836	2	2	1	2	2	1	1	2	1	2	1	1	1	1	1	1	1	2	2	1	1	2	2	1	2	2	2	1	1	1	2	2	2	1	2	1	1	2	2	1	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1094_D12	Lieb	-1.8262665	11.0447334	2	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	2	2	1	2	1	1	1	1	2	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1097_A06	Lieb	-2.5567335	10.7319168	2	2	1	1	1	2	1	2	1	1	1	1	1	1	2	1	1	2	2	1	1	2	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1102_H08	Lieb	-2.5448166	10.7546166	2	2	2	1	1	1	1	2	1	2	1	1	1	1	1	1	2	2	2	1	1	2	1	1	2	1	1	2	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1105_G05 	Lieb	-2.5429329	10.7565165	2	2	2	1	1	1	1	2	1	1	1	1	1	1	1	1	2	2	2	1	1	2	1	1	2	2	2	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1109_H07	Lieb	-2.5482834	10.7456337	2	2	2	2	2	2	1	2	1	1	1	1	1	1	1	1	2	2	1	1	1	2	2	1	2	1	1	1	1	1	2	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1112_D12	Lieb	-2.3282163	10.5957666	2	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	2	2	2	1	1	1	1	1	2	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1116_D11	Lieb	-2.3172003	10.5910002	2	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1117_F09	Lieb	-2.3191002	10.5891003	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	2	2	1	1	2	1	1	2	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1118_A11	Lieb	-2.3299668	10.6059996	2	2	2	1	1	1	1	2	1	1	1	1	1	2	1	1	2	2	2	1	1	1	2	1	2	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1
+ACL1120_B02	Lieb	-2.3327496	10.609983	2	2	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	2	2	1	2	1	1	1	2	1	2	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1122_E12	Lieb	-2.3326002	10.609083	2	2	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1123_C11	Lieb	-1.6921332	10.3570002	1	2	1	2	1	1	1	2	1	2	1	1	1	1	1	1	1	2	2	1	2	1	1	1	2	1	1	1	1	1	2	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1124_C03	Lieb	-1.6704837	10.3454496	2	2	2	1	2	1	1	2	1	2	1	1	1	1	2	1	1	2	2	2	2	1	1	1	2	2	2	1	1	1	2	2	1	1	2	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1
+ACL1125_F08	Lieb	-1.659267	10.337733	2	2	2	2	1	2	1	2	1	1	1	1	1	1	1	1	2	2	2	1	1	2	1	1	2	1	1	2	1	1	2	2	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1126_B12	Lieb	-1.660167	10.3368663	2	2	1	2	2	1	1	2	1	2	1	1	1	1	1	1	2	2	2	1	1	1	1	1	2	1	2	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1127_C05	Lieb	-1.7313498	10.3944663	2	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	2	1	1	1	1	2	2	1	1	1	1	1	2	2	1	2	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1128_D01	Lieb	-1.2363165	10.5825168	1	1	1	1	1	1	2	1	2	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1129_H02	Lieb	-0.8170668	10.3679667	2	2	2	1	1	1	1	1	1	2	1	1	1	1	1	1	2	2	2	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	2	1	2	1	2	1	1	2	1	1	1	1	1	1	2	1	1	1	1	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1130_D09	Lieb	-0.6213501	10.2348171	2	2	2	2	1	1	1	2	1	1	1	1	1	1	2	1	2	2	2	1	2	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1
+ACL1132_E03	Lieb	-0.6180669	10.2459168	2	2	2	1	1	1	1	2	1	2	1	1	1	1	1	1	2	2	2	1	1	1	1	1	2	2	2	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1135_A02	Lieb	-0.6183666	10.2501999	2	2	1	2	1	1	1	2	1	2	1	1	2	1	1	1	2	2	2	1	1	1	1	1	2	2	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1137_G01	Lieb	-0.6184332	10.2490668	2	2	2	1	1	1	1	2	2	1	2	1	1	1	1	1	2	2	2	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1139_B04 	Lieb	0.6082497	11.2155003	2	2	2	1	1	1	1	2	1	1	1	1	1	1	2	1	2	2	2	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1143_A09	Lieb	0.6055668	11.214117	2	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	2	2	1	2	1	1	2	1	2	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1148_D12	Lieb	0.6113169	11.21445	2	2	2	2	1	1	1	2	1	1	1	1	2	1	1	1	2	2	2	1	2	1	1	1	2	2	1	1	1	1	2	1	1	1	2	1	1	2	1	1	1	1	1	1	1	2	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1151_F12	Lieb	0.5740497	11.2537332	2	2	1	2	1	2	1	2	2	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	2	2	1	1	1	1	2	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1156_G12	Lieb	0.5673168	11.2563	2	2	1	2	2	2	1	2	1	2	1	1	1	1	1	2	1	2	2	1	1	2	1	1	2	2	2	1	1	1	2	1	1	1	1	1	1	2	2	1	1	2	1	1	1	1	2	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1158_G06	Lieb	0.5678001	11.2584168	2	2	1	1	1	1	1	2	1	2	1	1	1	1	2	1	2	2	1	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1160_G06	Lieb	0.5957829	11.206917	2	2	1	2	1	1	1	2	2	1	1	1	2	1	2	1	2	2	1	1	1	1	1	1	2	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1162_B05	Lieb	0.6029334	11.1997332	2	2	2	2	1	1	1	2	1	1	1	1	1	1	1	1	2	2	2	1	1	1	1	1	2	2	2	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1166_G03	Lieb	0.5999499	11.1967164	2	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	2	2	2	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1170_A12	Lieb	0.5985504	11.2069836	2	2	1	2	1	1	1	2	1	2	1	1	1	1	1	1	2	2	2	1	1	1	1	1	2	2	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1172_G12	Lieb	0.5969331	11.2046832	2	2	1	2	1	1	1	2	1	1	1	1	2	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1176_B10	Lieb	0.5614335	11.1131829	2	2	1	2	1	1	1	2	1	1	1	1	2	1	1	1	2	2	2	1	1	1	1	1	2	2	1	1	1	1	2	1	1	1	2	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1181_D03 	Lieb	0.5613165	11.1102669	2	2	1	2	1	1	1	2	1	1	1	1	2	1	1	1	2	2	2	1	1	1	1	1	2	2	2	1	1	1	2	2	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1186_G08	Lieb	0.5326335	11.1401667	2	2	1	2	1	1	1	2	1	2	1	2	1	1	1	1	2	2	1	1	2	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	2	1	2	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1189_E06 	Lieb	0.5259996	11.1426831	2	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	2	2	2	1	1	1	1	1	2	2	2	1	1	1	2	2	1	1	2	1	1	2	1	1	1	2	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1192_C10	Lieb	-0.1537002	10.7399835	2	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	2	2	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	2	1	2	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1194_C08	Lieb	-0.1530504	10.7399835	2	2	1	1	1	2	1	2	1	1	1	1	1	1	2	1	2	2	2	1	1	1	1	1	2	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1198_E07	Lieb	-0.150417	10.7342163	2	2	1	1	1	1	1	2	1	1	1	1	1	1	2	1	2	2	2	1	1	1	1	1	2	2	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1203_D10	Lieb	-0.1682001	12.4998498	2	2	2	2	1	1	1	2	1	2	1	1	1	1	2	1	2	2	2	1	2	1	1	1	1	2	1	1	1	1	2	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	2	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1205Ext8_F03	Lieb	0.4535496	10.1791332	2	1	2	2	2	2	2	2	1	2	1	1	2	1	2	1	2	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1210_E09 	Lieb	0.4558329	10.1765835	2	1	2	1	1	1	1	1	1	1	1	1	1	1	2	1	2	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1212_E06	Lieb	0.4564332	10.1758167	2	2	1	2	1	1	2	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1214_H11	Lieb	0.4952331	11.1774996	1	2	1	2	2	1	1	2	1	2	1	1	2	1	1	1	2	2	1	1	1	2	1	1	2	2	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1215_H04	Lieb	1.2026403	16.78878	2	2	2	1	2	2	1	2	1	2	1	1	1	1	2	1	2	2	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	2	1	1	1	1	1	1	2	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL1217_C09	Lieb	1.2201003	16.8380001	2	2	2	1	2	2	1	1	1	2	1	1	2	1	1	1	2	2	1	1	2	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1
+ACL4152_E10	Danckel	0.3390003	9.2150001	2	2	1	2	1	1	1	2	1	2	1	2	2	1	1	1	2	2	2	1	2	1	1	1	1	2	1	1	1	2	2	2	2	1	1	1	1	2	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL4175_A04	Lieb	0.2500002	9.2940003	2	2	1	1	1	1	1	2	1	1	1	2	1	1	1	1	2	2	1	1	2	1	1	1	1	2	1	1	1	2	2	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL4200_D08	Lieb	0.1953	10.0555002	2	2	1	2	1	1	1	2	1	2	2	1	1	1	1	1	2	2	2	1	1	1	1	1	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL4239_F04	Lieb	-0.1287	11.3502996	2	2	1	1	1	1	2	2	1	1	1	1	1	1	2	1	2	2	2	2	1	1	1	1	2	1	1	1	1	1	2	2	1	1	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL4277_E06	Lieb	-0.1241001	11.3633001	2	2	2	2	1	1	1	2	1	1	1	1	1	1	2	1	2	2	2	1	1	1	2	1	2	1	1	1	1	1	2	1	1	1	2	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL4286_E11	Lieb	-3.2463	10.4111001	2	1	1	2	1	1	1	2	1	2	1	1	2	1	1	1	2	2	1	1	1	1	1	1	2	2	1	1	1	1	2	2	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL4422Ext8_F05	Lieb	3.7567503	11.2660002	2	2	1	1	2	2	1	2	1	2	1	1	1	1	1	1	2	2	1	1	2	2	2	1	1	1	1	1	1	1	2	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1
+ACL4448Ext8_B05	Lieb	-0.302067	11.7025335	2	2	1	2	1	1	1	2	1	1	1	1	2	1	1	1	1	2	2	1	2	1	1	1	2	2	1	1	1	1	2	1	1	1	2	1	1	2	1	1	1	2	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+ACL4451_B08	Lieb	-0.2890503	11.7056331	2	2	1	1	1	1	1	2	1	1	1	1	2	1	1	1	2	2	1	1	1	1	1	1	2	2	1	1	1	1	2	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
+END																																																																																										
+H2				0	0.7944	0.3859	0.7646	0.4821	0.4026	0.4032	0.6446	0.3528	0.4815	0.4512	0.3059	0.444	0.0824	0.2081	0.307	0.286	0.8506	0.4732	0.704	0.7648	0.8674	0.9432	0.4709	0.7783	0.1873	0.1076	0.3811	0.745	0.5693	0.2494	0.7783	0.4064	0.8506	0.2045	0	0	0.5889	0.4709	0.4892	0.402	-0.1028	0	0.1245	1	0.6629	0	0.3432	1	0.6347	0	1	0.6999	0.4892	0	0	0	0	0	1	0	0	0	0	0	0	0.6629	0.6709	0	1	0	0.8028	0	1	0	1	0	0	0	0.6629	0	0.6629	0.4892	0	0	0	0
diff --git a/example_data/DataAllozymes-diploids_and_tetraploids.txt b/example_data/DataAllozymes-diploids_and_tetraploids.txt
index eff45dc..bf979b1 100644
--- a/example_data/DataAllozymes-diploids_and_tetraploids.txt
+++ b/example_data/DataAllozymes-diploids_and_tetraploids.txt
@@ -1,166 +1,165 @@
-// This is an example of data file for the software SPAGeDi, written by O. Hardy and X. Vekemans
-//
-// Any line begining by   //   is a comment line, not read by the program. They can be put anywhere.
-// Empty lines must also begin by  //  
-//
-// This example gives the genotypes at 5 enzymatic loci for 139 diploid and tetraploid individuals of 
-// Centaurea jacea (Asteraceae) that were collected within a 1 ha grassland 
-// (see Hardy and Vekemans 2001, Evolution 55: 943-954).
-// The ploidy level is here identified by the categorical group.
-// For this data set, SPAGeDi permits to check :
-//  - isolation by distance within each ploidy level 
-//      (analysis at individual level, restricted within a given ploidy level, reference allele frequencies = within category)
-//  - whether the spatial structures of diploids and tetraploids are correlated
-//      (analysis at individual level, restricted between ploidy levels)
-//  - whether diploids and tetraploids are differentiated
-//      (analysis at the population level, population = categorical group)
-//
-// 1st non comment line : set of 6 numbers separated by a tabulation and representing :
-// #individuals	#categories	#coordinates	#loci	#digits/allele	max ploidy
-// 2nd non comment line : # of distance intervals followed by the upper distance of each interval.
-// 3rd non comment line : column labels (<=15 characters).
-// 4th and next lines : data for each individual in the following order: Ind name, category, coordinates, genotypes
-139	2	2	5	2	4
-6	2	4	6	10	20	30
-Ind	ploidy	X	Y	LAP	PGD	DIA	PGM1	PGM2
-1	2x	3.2	-4.3	606	303	102	102	202
-2	2x	27.8	-1.0	505	303	101	101	202
-3	2x	29.6	-1.0	506	303	101	101	202
-4	2x	30.9	-0.8	505	303	202	102	202
-5	2x	29.8	1.0	405	303	0	102	202
-6	2x	33.0	-1.2	606	303	102	102	202
-7	2x	37.9	1.1	405	303	0	102	202
-8	2x	38.4	-1.0	506	303	102	102	202
-9	2x	39.4	-1.0	406	303	0	102	202
-10	2x	45.8	1.0	506	303	101	101	202
-11	2x	46.8	1.0	506	303	101	101	202
-12	2x	49.0	-0.8	0	303	0	101	102
-13	2x	52.8	-3.3	506	303	102	102	202
-14	2x	56.5	-2.8	405	303	101	202	202
-15	2x	58.5	-2.8	405	303	101	102	202
-16	2x	58.8	-4.8	507	303	101	202	202
-17	2x	63.9	-1.2	0	303	101	101	202
-18	2x	64.6	-2.7	607	303	102	101	202
-19	2x	66.1	-3.3	505	303	101	102	202
-20	2x	65.9	0.7	406	303	101	202	202
-21	2x	67.8	0.7	707	303	102	0	202
-22	2x	70.1	-3.0	507	203	102	202	202
-23	2x	71.2	-3.2	506	303	101	0	0
-24	2x	73.6	-3.1	506	203	102	101	202
-25	2x	72.9	-1.0	507	303	102	102	202
-26	2x	73.8	-0.6	405	303	101	202	202
-27	2x	75.2	-2.9	406	203	0	102	202
-28	2x	75.9	-1.3	507	303	102	101	202
-29	2x	75.6	0.5	505	303	101	102	202
-30	2x	76.6	1.1	405	303	0	102	202
-31	2x	80.4	0.8	606	303	102	101	202
-32	2x	83.4	-0.9	0	303	202	0	0
-33	2x	84.2	1.9	0	303	101	101	202
-34	2x	84.3	2.2	507	303	101	102	202
-35	2x	85.4	-0.9	406	303	202	0	202
-36	2x	41.1	6.3	407	303	101	101	202
-37	2x	41.1	6.9	404	303	101	101	202
-38	2x	40.8	10.5	505	303	102	202	202
-39	2x	45.6	10.3	507	303	102	0	202
-40	2x	45.3	11.1	405	303	102	102	202
-41	2x	45.2	25.0	506	303	101	101	202
-42	2x	45.7	25.3	0	303	101	101	202
-43	2x	44.6	26.8	0	303	101	101	202
-44	2x	47.6	29.3	506	303	101	102	202
-45	2x	48.1	31.1	506	303	102	102	202
-46	2x	49.1	30.8	0	303	102	102	202
-47	2x	50.0	31.2	506	303	102	101	202
-48	2x	49.2	37.3	506	303	101	101	202
-49	2x	31.2	-2.5	0	203	0	101	0
-50	2x	34.6	2.3	405	303	101	102	0
-51	2x	36.8	0.8	505	303	0	101	0
-52	2x	38.9	-1.0	406	303	102	102	0
-53	2x	46.2	0.6	606	303	101	102	0
-54	2x	56.9	0.8	0	303	101	102	0
-55	2x	67.8	2.1	606	303	102	101	0
-56	2x	70.9	1.3	407	303	102	101	202
-57	2x	73.2	1.2	407	303	102	202	0
-58	2x	39.1	7.2	607	303	101	202	202
-59	2x	41.0	15.7	407	303	101	101	0
-60	2x	49.2	36.8	505	303	101	101	0
-61	2x	49.4	38.8	505	303	102	102	0
-62	2x	50.8	40.7	505	203	101	102	202
-63	2x	18.6	11.3	407	303	102	101	0
-64	2x	28.0	9.0	506	303	101	202	0
-65	2x	32.6	9.0	506	303	101	101	0
-66	4x	1.8	-0.9	5050606	3030404	1020202	1010101	2020202
-67	4x	2.4	-0.5	5060909	2020303	0	1020202	2020202
-68	4x	5.0	-0.6	4050506	1020303	1020202	2020202	0
-69	4x	5.6	0.4	5050606	3030304	1020202	1010202	2020202
-70	4x	10.4	-0.3	5060909	3030303	1010202	0	2020202
-71	4x	11.5	0.4	5050506	2030303	0	1010101	1020204
-72	4x	13.7	0.4	5060606	3030303	1010202	0	2020202
-73	4x	18.0	0.4	4050508	2030303	2020202	1010101	2020202
-74	4x	20.8	0.6	4060606	3030304	1020202	1010202	1010202
-75	4x	24.0	-0.7	4050606	3030304	1020202	1010102	1020202
-76	4x	25.1	1.2	6080909	1020303	0	1020202	2020202
-77	4x	34.1	2.4	5060606	3030303	0	1010101	1010202
-78	4x	41.0	-0.8	3050505	3030404	2020202	0	0
-79	4x	48.5	1.2	6060606	3030303	1010101	1010202	2020202
-80	4x	49.2	-2.6	3050507	3030304	0	1010101	0
-81	4x	49.7	-1.0	2030305	2030304	0	1020202	2020202
-82	4x	50.8	-2.3	5050707	3030304	2020202	1010101	1010202
-83	4x	56.1	-1.2	5050606	2020303	1010202	1010102	1020202
-84	4x	56.7	-0.9	3050606	2030303	0	1010102	2020202
-85	4x	56.8	-2.8	4050606	2020303	1020202	1020202	2020204
-86	4x	57.6	-3.0	4050708	2030303	0	1020202	2020204
-87	4x	58.7	-2.7	3050506	2030303	2020202	0	0
-88	4x	62.5	0.5	5060606	3030303	0	1010202	1010202
-89	4x	65.6	-3.0	5060809	3030303	0	1010202	2020202
-90	4x	65.7	1.0	5050606	3030303	1010202	2020202	2020202
-91	4x	68.3	0.5	4050608	3030303	1020202	1010202	2020202
-92	4x	68.5	1.2	5050606	3030303	2020202	1010202	2020204
-94	4x	73.0	-2.6	6060606	3030304	0	1010101	2020202
-95	4x	77.9	0.3	3030506	3030303	2020202	1010101	1020202
-96	4x	78.4	1.0	5050505	1030303	0	1010102	2020202
-97	4x	79.4	0.8	5050606	3030303	1020202	1010101	1010202
-98	4x	80.2	1.0	4060606	3030404	0	0	0
-99	4x	81.8	0.9	6060606	2020303	1010202	1010101	1010102
-100	4x	82.0	0.8	0	2020304	2020202	1010101	1010102
-101	4x	82.7	2.0	5050606	2030304	0	0	0
-102	4x	82.3	0.0	3050606	2020203	1010202	1010101	1020202
-103	4x	82.3	-0.3	6060606	2030304	2020202	1010101	1020202
-104	4x	41.6	10.6	3050506	2030303	0	1010202	0
-105	4x	45.9	15.0	3050506	3030304	2020202	1010102	2020204
-106	4x	44.6	24.8	5050708	3030303	0	1020202	2020202
-107	4x	45.7	25.3	5050505	3030303	2020202	1010202	1010102
-108	4x	46.6	27.0	3030505	3030303	2020202	1010102	2020202
-109	4x	48.4	27.0	0	3030304	0	1010102	1010202
-110	4x	48.8	28.7	5080808	3030303	0	1010202	1020202
-111	4x	48.6	33.6	0	3030303	1020202	1010101	1020204
-112	4x	49.6	35.3	0	3030303	1020202	1010101	1010202
-113	4x	49.1	36.3	5050607	3030303	1020202	1010101	2020202
-114	4x	49.1	36.7	0	3030303	1010101	1010101	2020202
-115	4x	49.1	38.2	5050507	2020303	2020202	0	2020202
-116	4x	48.3	38.9	6060709	2020303	1020202	0	2020202
-117	4x	47.8	39.6	5050607	2020203	2020202	1010202	2020202
-118	4x	2.4	-5.0	5060606	1030303	1010202	0	0
-119	4x	5.0	-6.0	0	0	0	0	0
-120	4x	8.5	-2.6	1050505	3030303	1010202	0	0
-121	4x	10.6	1.2	5050508	2030303	1010202	1010202	0
-122	4x	10.8	-0.7	5050608	2030303	2020202	2020202	2020202
-123	4x	12.8	1.1	5050609	2020303	1020202	0	0
-124	4x	22.6	0.8	3050508	2030304	1010202	1010101	0
-125	4x	79.4	-5.5	5050606	2030304	1010202	1010101	0
-126	4x	37.6	14.3	0	2030304	1010202	0	2020204
-127	4x	50.6	27.0	5050505	3030304	1010202	0	0
-128	4x	50.8	33.3	5050606	2030304	1020202	1010101	0
-129	4x	50.1	35.1	3030505	3030303	1010202	1010202	0
-130	4x	47.8	37.3	5050506	3030303	1020202	1010202	0
-131	4x	45.6	41.0	5060609	2030303	1010202	0	0
-132	4x	14.6	18.8	4050506	3030303	1010202	1010101	0
-133	4x	13.3	19.0	5060606	3030304	1010202	1010101	0
-134	4x	18.3	16.7	0	0	0	0	1010202
-135	4x	19.9	10.8	6060608	3030303	1010202	0	0
-136	4x	19.6	8.8	6060909	2020303	1010102	2020202	0
-137	4x	30.6	9.0	6060609	1030303	1010102	0	0
-138	4x	34.1	15.3	5050506	1030304	1010202	1010202	1010202
-139	4x	27.6	6.8	5050606	3030303	1020202	1010102	1010202
-140	4x	23.6	6.7	5050606	1020303	1010102	0	2020204
-END
-// the word END is compulsory at the end of the list of individuals data
+// This is an example of data file for the software SPAGeDi, written by O. Hardy and X. Vekemans
+//
+// Any line begining by   //   is a comment line, not read by the program. They can be put anywhere.
+// Empty lines must also begin by  //  
+//
+// This example gives the genotypes at 5 enzymatic loci for 139 diploid and tetraploid individuals of 
+// Centaurea jacea (Asteraceae) that were collected within a 1 ha grassland 
+// (see Hardy and Vekemans 2001, Evolution 55: 943-954).
+// The ploidy level is here identified by the categorical group.
+// For this data set, SPAGeDi permits to check :
+//  - isolation by distance within each ploidy level 
+//      (analysis at individual level, restricted within a given ploidy level, reference allele frequencies = within category)
+//  - whether the spatial structures of diploids and tetraploids are correlated
+//      (analysis at individual level, restricted between ploidy levels)
+//  - whether diploids and tetraploids are differentiated
+//      (analysis at the population level, population = categorical group)
+//
+// 1st non comment line : set of 6 numbers separated by a tabulation and representing :
+// #individuals	#categories	#coordinates	#loci	#digits/allele	max ploidy
+// 2nd non comment line : # of distance intervals followed by the upper distance of each interval.
+// 3rd non comment line : column labels (<=15 characters).
+// 4th and next lines : data for each individual in the following order: Ind name, category, coordinates, genotypes
+139	2	2	5	2	4
+6	2	4	6	10	20	30
+Ind	ploidy	X	Y	LAP	PGD	DIA	PGM1	PGM2
+1	2x	3.2	-4.3	606	303	102	102	202
+2	2x	27.8	-1.0	505	303	101	101	202
+3	2x	29.6	-1.0	506	303	101	101	202
+4	2x	30.9	-0.8	505	303	202	102	202
+5	2x	29.8	1.0	405	303	0	102	202
+6	2x	33.0	-1.2	606	303	102	102	202
+7	2x	37.9	1.1	405	303	0	102	202
+8	2x	38.4	-1.0	506	303	102	102	202
+9	2x	39.4	-1.0	406	303	0	102	202
+10	2x	45.8	1.0	506	303	101	101	202
+11	2x	46.8	1.0	506	303	101	101	202
+12	2x	49.0	-0.8	0	303	0	101	102
+13	2x	52.8	-3.3	506	303	102	102	202
+14	2x	56.5	-2.8	405	303	101	202	202
+15	2x	58.5	-2.8	405	303	101	102	202
+16	2x	58.8	-4.8	507	303	101	202	202
+17	2x	63.9	-1.2	0	303	101	101	202
+18	2x	64.6	-2.7	607	303	102	101	202
+19	2x	66.1	-3.3	505	303	101	102	202
+20	2x	65.9	0.7	406	303	101	202	202
+21	2x	67.8	0.7	707	303	102	0	202
+22	2x	70.1	-3.0	507	203	102	202	202
+23	2x	71.2	-3.2	506	303	101	0	0
+24	2x	73.6	-3.1	506	203	102	101	202
+25	2x	72.9	-1.0	507	303	102	102	202
+26	2x	73.8	-0.6	405	303	101	202	202
+27	2x	75.2	-2.9	406	203	0	102	202
+28	2x	75.9	-1.3	507	303	102	101	202
+29	2x	75.6	0.5	505	303	101	102	202
+30	2x	76.6	1.1	405	303	0	102	202
+31	2x	80.4	0.8	606	303	102	101	202
+32	2x	83.4	-0.9	0	303	202	0	0
+33	2x	84.2	1.9	0	303	101	101	202
+34	2x	84.3	2.2	507	303	101	102	202
+35	2x	85.4	-0.9	406	303	202	0	202
+36	2x	41.1	6.3	407	303	101	101	202
+37	2x	41.1	6.9	404	303	101	101	202
+38	2x	40.8	10.5	505	303	102	202	202
+39	2x	45.6	10.3	507	303	102	0	202
+40	2x	45.3	11.1	405	303	102	102	202
+41	2x	45.2	25.0	506	303	101	101	202
+42	2x	45.7	25.3	0	303	101	101	202
+43	2x	44.6	26.8	0	303	101	101	202
+44	2x	47.6	29.3	506	303	101	102	202
+45	2x	48.1	31.1	506	303	102	102	202
+46	2x	49.1	30.8	0	303	102	102	202
+47	2x	50.0	31.2	506	303	102	101	202
+48	2x	49.2	37.3	506	303	101	101	202
+49	2x	31.2	-2.5	0	203	0	101	0
+50	2x	34.6	2.3	405	303	101	102	0
+51	2x	36.8	0.8	505	303	0	101	0
+52	2x	38.9	-1.0	406	303	102	102	0
+53	2x	46.2	0.6	606	303	101	102	0
+54	2x	56.9	0.8	0	303	101	102	0
+55	2x	67.8	2.1	606	303	102	101	0
+56	2x	70.9	1.3	407	303	102	101	202
+57	2x	73.2	1.2	407	303	102	202	0
+58	2x	39.1	7.2	607	303	101	202	202
+59	2x	41.0	15.7	407	303	101	101	0
+60	2x	49.2	36.8	505	303	101	101	0
+61	2x	49.4	38.8	505	303	102	102	0
+62	2x	50.8	40.7	505	203	101	102	202
+63	2x	18.6	11.3	407	303	102	101	0
+64	2x	28.0	9.0	506	303	101	202	0
+65	2x	32.6	9.0	506	303	101	101	0
+66	4x	1.8	-0.9	5050606	3030404	1020202	1010101	2020202
+67	4x	2.4	-0.5	5060909	2020303	0	1020202	2020202
+68	4x	5.0	-0.6	4050506	1020303	1020202	2020202	0
+69	4x	5.6	0.4	5050606	3030304	1020202	1010202	2020202
+70	4x	10.4	-0.3	5060909	3030303	1010202	0	2020202
+71	4x	11.5	0.4	5050506	2030303	0	1010101	1020204
+72	4x	13.7	0.4	5060606	3030303	1010202	0	2020202
+73	4x	18.0	0.4	4050508	2030303	2020202	1010101	2020202
+74	4x	20.8	0.6	4060606	3030304	1020202	1010202	1010202
+75	4x	24.0	-0.7	4050606	3030304	1020202	1010102	1020202
+76	4x	25.1	1.2	6080909	1020303	0	1020202	2020202
+77	4x	34.1	2.4	5060606	3030303	0	1010101	1010202
+78	4x	41.0	-0.8	3050505	3030404	2020202	0	0
+79	4x	48.5	1.2	6060606	3030303	1010101	1010202	2020202
+80	4x	49.2	-2.6	3050507	3030304	0	1010101	0
+81	4x	49.7	-1.0	2030305	2030304	0	1020202	2020202
+82	4x	50.8	-2.3	5050707	3030304	2020202	1010101	1010202
+83	4x	56.1	-1.2	5050606	2020303	1010202	1010102	1020202
+84	4x	56.7	-0.9	3050606	2030303	0	1010102	2020202
+85	4x	56.8	-2.8	4050606	2020303	1020202	1020202	2020204
+86	4x	57.6	-3.0	4050708	2030303	0	1020202	2020204
+87	4x	58.7	-2.7	3050506	2030303	2020202	0	0
+88	4x	62.5	0.5	5060606	3030303	0	1010202	1010202
+89	4x	65.6	-3.0	5060809	3030303	0	1010202	2020202
+90	4x	65.7	1.0	5050606	3030303	1010202	2020202	2020202
+91	4x	68.3	0.5	4050608	3030303	1020202	1010202	2020202
+92	4x	68.5	1.2	5050606	3030303	2020202	1010202	2020204
+94	4x	73.0	-2.6	6060606	3030304	0	1010101	2020202
+95	4x	77.9	0.3	3030506	3030303	2020202	1010101	1020202
+96	4x	78.4	1.0	5050505	1030303	0	1010102	2020202
+97	4x	79.4	0.8	5050606	3030303	1020202	1010101	1010202
+98	4x	80.2	1.0	4060606	3030404	0	0	0
+99	4x	81.8	0.9	6060606	2020303	1010202	1010101	1010102
+100	4x	82.0	0.8	0	2020304	2020202	1010101	1010102
+101	4x	82.7	2.0	5050606	2030304	0	0	0
+102	4x	82.3	0.0	3050606	2020203	1010202	1010101	1020202
+103	4x	82.3	-0.3	6060606	2030304	2020202	1010101	1020202
+104	4x	41.6	10.6	3050506	2030303	0	1010202	0
+105	4x	45.9	15.0	3050506	3030304	2020202	1010102	2020204
+106	4x	44.6	24.8	5050708	3030303	0	1020202	2020202
+107	4x	45.7	25.3	5050505	3030303	2020202	1010202	1010102
+108	4x	46.6	27.0	3030505	3030303	2020202	1010102	2020202
+109	4x	48.4	27.0	0	3030304	0	1010102	1010202
+110	4x	48.8	28.7	5080808	3030303	0	1010202	1020202
+111	4x	48.6	33.6	0	3030303	1020202	1010101	1020204
+112	4x	49.6	35.3	0	3030303	1020202	1010101	1010202
+113	4x	49.1	36.3	5050607	3030303	1020202	1010101	2020202
+114	4x	49.1	36.7	0	3030303	1010101	1010101	2020202
+115	4x	49.1	38.2	5050507	2020303	2020202	0	2020202
+116	4x	48.3	38.9	6060709	2020303	1020202	0	2020202
+117	4x	47.8	39.6	5050607	2020203	2020202	1010202	2020202
+118	4x	2.4	-5.0	5060606	1030303	1010202	0	0
+119	4x	5.0	-6.0	0	0	0	0	0
+120	4x	8.5	-2.6	1050505	3030303	1010202	0	0
+121	4x	10.6	1.2	5050508	2030303	1010202	1010202	0
+122	4x	10.8	-0.7	5050608	2030303	2020202	2020202	2020202
+123	4x	12.8	1.1	5050609	2020303	1020202	0	0
+124	4x	22.6	0.8	3050508	2030304	1010202	1010101	0
+125	4x	79.4	-5.5	5050606	2030304	1010202	1010101	0
+126	4x	37.6	14.3	0	2030304	1010202	0	2020204
+127	4x	50.6	27.0	5050505	3030304	1010202	0	0
+128	4x	50.8	33.3	5050606	2030304	1020202	1010101	0
+129	4x	50.1	35.1	3030505	3030303	1010202	1010202	0
+130	4x	47.8	37.3	5050506	3030303	1020202	1010202	0
+131	4x	45.6	41.0	5060609	2030303	1010202	0	0
+132	4x	14.6	18.8	4050506	3030303	1010202	1010101	0
+133	4x	13.3	19.0	5060606	3030304	1010202	1010101	0
+134	4x	18.3	16.7	0	0	0	0	1010202
+135	4x	19.9	10.8	6060608	3030303	1010202	0	0
+136	4x	19.6	8.8	6060909	2020303	1010102	2020202	0
+137	4x	30.6	9.0	6060609	1030303	1010102	0	0
+138	4x	34.1	15.3	5050506	1030304	1010202	1010202	1010202
+139	4x	27.6	6.8	5050606	3030303	1020202	1010102	1010202
+140	4x	23.6	6.7	5050606	1020303	1010102	0	2020204
+END
diff --git a/example_data/DataHaplo-with_distance_matrix_between_haplotypes.txt b/example_data/DataHaplo-with_distance_matrix_between_haplotypes.txt
index 1711611..0750c5d 100644
--- a/example_data/DataHaplo-with_distance_matrix_between_haplotypes.txt
+++ b/example_data/DataHaplo-with_distance_matrix_between_haplotypes.txt
@@ -1,141 +1,141 @@
-119	5	2	1	2	1												
-5	200	500	1000	2000	4000												
-Ind	cat	Lat	Long	Hapl													
-1	Ea	-1335.6	1932.2	9													
-2	Ea	-1588.9	1945.6	9													
-3	Ea	-1604.4	1840	9													
-4	Ea	-1350	1920	9													
-5	E	780.2	289	6													
-6	E	957.9	184.8	13													
-7	E	777.1	292.1	6													
-8	E	1027.6	172.5	5													
-9	Ea	-2025.8	2390	9													
-10	Ea	1230	-464.4	12													
-11	Ea	1230	-464.4	12													
-12	E	312.1	1378.2	3													
-13	E	311.4	1377.9	22													
-14	E	279.8	1198.9	23													
-15	E	379	1277	23													
-16	E	438.2	1648	3													
-17	E	524.4	1573.7	3													
-18	E	254.3	1702.8	3													
-19	E	335.5	1535.8	3													
-20	E	342.8	1512.1	3													
-21	Ei	612.2	1232.2	3													
-22	E	254	1105.3	23													
-23	E	253.7	1105.3	18													
-24	E	562.3	982.1	23													
-25	E	562.2	982.6	23													
-26	E	563.2	984.3	23													
-27	E	562.3	981.4	22													
-28	E	562.3	982.1	23													
-29	Es	1037.8	493.3	23													
-30	E	257.5	1490.5	3													
-31	E	263.9	1180.9	23													
-32	Es	697.8	1375.6	3													
-33	E	288.4	1470.5	3													
-34	E	324.8	1445.1	3													
-35	Ei	14.4	1172.2	3													
-36	E	327.2	1666.4	3													
-37	Es	276.7	1231.1	3													
-38	E	371.8	1587.3	3													
-39	E	334.3	1693	3													
-40	Ei	497.8	1046.7	23													
-41	E	279.7	1490.2	3													
-42	E	398.8	1515.1	3													
-43	E	497.3	1251.4	3													
-44	E	326	1660.8	3													
-45	E	391.6	1625.6	3													
-46	E	224.8	1725.4	3													
-47	E	230.5	1757.4	3													
-48	E	418.8	1517.2	3													
-49	E	421.8	1539.2	3													
-50	E	374.6	1537.8	3													
-51	E	366.4	1549	3													
-52	E	1177.3	357.3	23													
-53	E	1158.9	345.8	23													
-54	E	220.2	1798.6	3													
-55	E	354.7	1657.7	3													
-56	Es	40	1598.9	3													
-57	E	152.2	1781.1	3													
-58	E	147.2	1822.5	3													
-59	Es	-472.6	1383.3	3													
-60	E	176.8	1294.2	3													
-61	E	176.8	1294.2	23													
-62	E	190.8	1299.7	22													
-63	E	190.8	1299.7	23													
-64	E	123.9	1468.6	3													
-65	E	60.4	1036.9	24													
-66	E	46.8	1326.2	3													
-67	E	-77.2	1505.4	3													
-68	E	66.4	1037.5	23													
-69	E	66.4	1037.5	24													
-70	E	78.3	1455.8	4													
-71	E	-53.7	1400	3													
-72	E	-53.7	1400	17													
-73	E	-1.9	1040.7	25													
-74	E	87.3	1480	3													
-75	E	-265.4	1127.7	3													
-76	E	37.9	1038.8	24													
-77	E	16.1	1037.7	23													
-78	E	-118.3	1243.2	3													
-79	E	1128.4	-100.1	3													
-80	E	1131.5	-190	3													
-81	E	1162.2	-162	3													
-82	E	1133	-189.7	4													
-83	E	1064.1	106.7	23													
-84	E	1066.7	92.6	23													
-85	E	1128.4	-100.1	23													
-86	E	1035.9	-111.8	25													
-87	E	1037.6	-110.7	25													
-88	E	1041.3	-110.8	25													
-89	Es	1457.8	-1808.9	7													
-90	Es	598.9	-13.3	2													
-91	Ea	1016.7	-167.8	10													
-92	Es	1154.4	-1351.1	11													
-93	Ea	1366.7	-1465.6	10													
-94	Es	1338.9	-1353.3	7													
-95	Es	1135.6	-1011.1	12													
-96	Es	1245.6	-1373.3	12													
-97	Ea	1341.1	-1561.1	10													
-98	Es	167.8	1050	23													
-99	Ei	165.6	1171.1	23													
-100	Ei	134.4	1041.1	22													
-101	Ea	-2004.4	2363.3	9													
-102	Es	822.2	2333.3	3													
-103	Es	833.3	2333.3	3													
-104	Ea	822.2	2333.3	10													
-105	Es	1392.2	-1866.7	7													
-106	Es	1391.1	-1866.7	7													
-107	Es	1423.3	-1790	7													
-108	Ea	1482.2	-1495.6	10													
-109	Es	1360	-1814.4	7													
-110	Es	1456.7	-1485.6	7													
-111	El	-2925.6	3556.7	4													
-112	Ea	-488.9	3484.4	9													
-113	Ea	-727.8	3590	9													
-114	Ea	-387.8	3594.4	9													
-115	Ea	-1157.8	3927.8	9													
-116	Ea	-934.4	3444.4	9													
-117	E	-1234.4	2678.9	10													
-118	Ea	-1478.9	3122.2	9													
-119	Ea	-1002.2	3497.8	9													
-END																	
-Hapl	2	3	4	5	6	7	9	10	11	12	13	17	18	22	23	24	25
-2	0	8	7	5	4	3	8	7	6	5	8	11	10	13	12	11	10
-3	8	0	1	3	4	5	2	3	4	5	4	9	10	9	10	11	12
-4	7	1	0	2	3	4	1	2	3	4	3	8	9	8	9	10	11
-5	5	3	2	0	1	2	3	2	1	2	3	6	7	8	7	8	9
-6	4	4	3	1	0	1	4	3	2	1	4	7	6	9	8	7	8
-7	3	5	4	2	1	0	5	4	3	2	5	8	7	10	9	8	7
-9	8	2	1	3	4	5	0	1	2	3	2	9	10	7	8	9	10
-10	7	3	2	2	3	4	1	0	1	2	1	8	9	6	7	8	9
-11	6	4	3	1	2	3	2	1	0	1	2	7	8	7	6	7	8
-12	5	5	4	2	1	2	3	2	1	0	3	8	7	8	7	6	7
-13	8	4	3	3	4	5	2	1	2	3	0	9	10	7	8	9	10
-17	11	9	8	6	7	8	9	8	7	8	9	0	1	2	1	2	3
-18	10	10	9	7	6	7	10	9	8	7	10	1	0	3	2	1	2
-22	13	9	8	8	9	10	7	6	7	8	7	2	3	0	1	2	3
-23	12	10	9	7	8	9	8	7	6	7	8	1	2	1	0	1	2
-24	11	11	10	8	7	8	9	8	7	6	9	2	1	2	1	0	1
-25	10	12	11	9	8	7	10	9	8	7	10	3	2	3	2	1	0
+119	5	2	1	2	1												
+5	200	500	1000	2000	4000												
+Ind	cat	Lat	Long	Hapl													
+1	Ea	-1335.6	1932.2	9													
+2	Ea	-1588.9	1945.6	9													
+3	Ea	-1604.4	1840	9													
+4	Ea	-1350	1920	9													
+5	E	780.2	289	6													
+6	E	957.9	184.8	13													
+7	E	777.1	292.1	6													
+8	E	1027.6	172.5	5													
+9	Ea	-2025.8	2390	9													
+10	Ea	1230	-464.4	12													
+11	Ea	1230	-464.4	12													
+12	E	312.1	1378.2	3													
+13	E	311.4	1377.9	22													
+14	E	279.8	1198.9	23													
+15	E	379	1277	23													
+16	E	438.2	1648	3													
+17	E	524.4	1573.7	3													
+18	E	254.3	1702.8	3													
+19	E	335.5	1535.8	3													
+20	E	342.8	1512.1	3													
+21	Ei	612.2	1232.2	3													
+22	E	254	1105.3	23													
+23	E	253.7	1105.3	18													
+24	E	562.3	982.1	23													
+25	E	562.2	982.6	23													
+26	E	563.2	984.3	23													
+27	E	562.3	981.4	22													
+28	E	562.3	982.1	23													
+29	Es	1037.8	493.3	23													
+30	E	257.5	1490.5	3													
+31	E	263.9	1180.9	23													
+32	Es	697.8	1375.6	3													
+33	E	288.4	1470.5	3													
+34	E	324.8	1445.1	3													
+35	Ei	14.4	1172.2	3													
+36	E	327.2	1666.4	3													
+37	Es	276.7	1231.1	3													
+38	E	371.8	1587.3	3													
+39	E	334.3	1693	3													
+40	Ei	497.8	1046.7	23													
+41	E	279.7	1490.2	3													
+42	E	398.8	1515.1	3													
+43	E	497.3	1251.4	3													
+44	E	326	1660.8	3													
+45	E	391.6	1625.6	3													
+46	E	224.8	1725.4	3													
+47	E	230.5	1757.4	3													
+48	E	418.8	1517.2	3													
+49	E	421.8	1539.2	3													
+50	E	374.6	1537.8	3													
+51	E	366.4	1549	3													
+52	E	1177.3	357.3	23													
+53	E	1158.9	345.8	23													
+54	E	220.2	1798.6	3													
+55	E	354.7	1657.7	3													
+56	Es	40	1598.9	3													
+57	E	152.2	1781.1	3													
+58	E	147.2	1822.5	3													
+59	Es	-472.6	1383.3	3													
+60	E	176.8	1294.2	3													
+61	E	176.8	1294.2	23													
+62	E	190.8	1299.7	22													
+63	E	190.8	1299.7	23													
+64	E	123.9	1468.6	3													
+65	E	60.4	1036.9	24													
+66	E	46.8	1326.2	3													
+67	E	-77.2	1505.4	3													
+68	E	66.4	1037.5	23													
+69	E	66.4	1037.5	24													
+70	E	78.3	1455.8	4													
+71	E	-53.7	1400	3													
+72	E	-53.7	1400	17													
+73	E	-1.9	1040.7	25													
+74	E	87.3	1480	3													
+75	E	-265.4	1127.7	3													
+76	E	37.9	1038.8	24													
+77	E	16.1	1037.7	23													
+78	E	-118.3	1243.2	3													
+79	E	1128.4	-100.1	3													
+80	E	1131.5	-190	3													
+81	E	1162.2	-162	3													
+82	E	1133	-189.7	4													
+83	E	1064.1	106.7	23													
+84	E	1066.7	92.6	23													
+85	E	1128.4	-100.1	23													
+86	E	1035.9	-111.8	25													
+87	E	1037.6	-110.7	25													
+88	E	1041.3	-110.8	25													
+89	Es	1457.8	-1808.9	7													
+90	Es	598.9	-13.3	2													
+91	Ea	1016.7	-167.8	10													
+92	Es	1154.4	-1351.1	11													
+93	Ea	1366.7	-1465.6	10													
+94	Es	1338.9	-1353.3	7													
+95	Es	1135.6	-1011.1	12													
+96	Es	1245.6	-1373.3	12													
+97	Ea	1341.1	-1561.1	10													
+98	Es	167.8	1050	23													
+99	Ei	165.6	1171.1	23													
+100	Ei	134.4	1041.1	22													
+101	Ea	-2004.4	2363.3	9													
+102	Es	822.2	2333.3	3													
+103	Es	833.3	2333.3	3													
+104	Ea	822.2	2333.3	10													
+105	Es	1392.2	-1866.7	7													
+106	Es	1391.1	-1866.7	7													
+107	Es	1423.3	-1790	7													
+108	Ea	1482.2	-1495.6	10													
+109	Es	1360	-1814.4	7													
+110	Es	1456.7	-1485.6	7													
+111	El	-2925.6	3556.7	4													
+112	Ea	-488.9	3484.4	9													
+113	Ea	-727.8	3590	9													
+114	Ea	-387.8	3594.4	9													
+115	Ea	-1157.8	3927.8	9													
+116	Ea	-934.4	3444.4	9													
+117	E	-1234.4	2678.9	10													
+118	Ea	-1478.9	3122.2	9													
+119	Ea	-1002.2	3497.8	9													
+END																	
+Hapl	2	3	4	5	6	7	9	10	11	12	13	17	18	22	23	24	25
+2	0	8	7	5	4	3	8	7	6	5	8	11	10	13	12	11	10
+3	8	0	1	3	4	5	2	3	4	5	4	9	10	9	10	11	12
+4	7	1	0	2	3	4	1	2	3	4	3	8	9	8	9	10	11
+5	5	3	2	0	1	2	3	2	1	2	3	6	7	8	7	8	9
+6	4	4	3	1	0	1	4	3	2	1	4	7	6	9	8	7	8
+7	3	5	4	2	1	0	5	4	3	2	5	8	7	10	9	8	7
+9	8	2	1	3	4	5	0	1	2	3	2	9	10	7	8	9	10
+10	7	3	2	2	3	4	1	0	1	2	1	8	9	6	7	8	9
+11	6	4	3	1	2	3	2	1	0	1	2	7	8	7	6	7	8
+12	5	5	4	2	1	2	3	2	1	0	3	8	7	8	7	6	7
+13	8	4	3	3	4	5	2	1	2	3	0	9	10	7	8	9	10
+17	11	9	8	6	7	8	9	8	7	8	9	0	1	2	1	2	3
+18	10	10	9	7	6	7	10	9	8	7	10	1	0	3	2	1	2
+22	13	9	8	8	9	10	7	6	7	8	7	2	3	0	1	2	3
+23	12	10	9	7	8	9	8	7	6	7	8	1	2	1	0	1	2
+24	11	11	10	8	7	8	9	8	7	6	9	2	1	2	1	0	1
+25	10	12	11	9	8	7	10	9	8	7	10	3	2	3	2	1	0
diff --git a/example_data/DataSSR-fine_scale_spatial_structure.txt b/example_data/DataSSR-fine_scale_spatial_structure.txt
index ac281f0..8d488e9 100644
--- a/example_data/DataSSR-fine_scale_spatial_structure.txt
+++ b/example_data/DataSSR-fine_scale_spatial_structure.txt
@@ -1,657 +1,655 @@
-// This is an example of data file for the software SPAGeDi, written by O. Hardy and X. Vekemans
-//
-// Any line begining by   //   is a comment line, not read by the program. They can be put anywhere.
-// Empty lines must also begin by  //
-//
-// This example gives the genotypes at 6 enzymatic loci for 629 individuals of Chamaecrista fasciculata
-// (Asteraceae) that were collected by C. B. Fenster in 10 subpopulations from a 1km x 2km metapopulation
-// (the data set given here is incomplete).
-// Subpopulations are identified by the categorical group.
-// For this data set, SPAGeDi permits to assess :
-//  - isolation by distance within each subpopulation
-//     (analysis at individual level, restricted within a given subpopulation, reference allele frequencies = within category)
-//  - average isolation by distance within subpopulations
-//     (analysis at individual level, restricted within subpopulations, reference allele frequencies = within category)
-//  - isolation by distance among subpopulations
-//     (analysis at population level, population = categorical group)
-//
-// 1st non comment line : set of 6 numbers separated by a tabulation and representing :
-// #individuals	#categories	#coordinates	#loci	#digits/allele	max ploidy
-// 2nd non comment line : # of distance intervals followed by the upper distance of each interval.
-// 3rd non comment line : column labels (<=15 characters).
-// 4th and next lines : data for each individual in the following order: Ind name, category, coordinates, genotypes
-629	10	2	6	2	2
-13	0.75	1.25	1.75	2.25	3	4	5	20	75	200	500	1000	2000
-Ind	SubPop	X	Y	E1	E2	E3	E5	E7	E8
-1071	SP2-1	319570	155194	606	606	505	0	707	505
-1072	SP2-1	319570	155195.8	0	0	505	0	506	707
-1052	SP2-1	319570	155196	0	0	505	0	0	707
-1075	SP2-1	319570.01	155196	0	0	505	0	707	0
-1069	SP2-1	319570	155198.5	0	0	506	0	707	507
-1070	SP2-1	319570	155200	0	0	505	0	607	507
-1004	SP2-1	319570.1	155199.2	0	0	0	0	0	707
-1012	SP2-1	319570.3	155199.5	0	0	505	0	606	707
-1074	SP2-1	319570.4	155195.7	0	0	505	505	606	0
-1066	SP2-1	319570.5	155197	0	0	0	0	0	0
-1062	SP2-1	319570.7	155195	0	0	0	0	0	707
-1060	SP2-1	319570.8	155194	0	0	505	0	0	707
-1067	SP2-1	319570.8	155199.2	0	0	0	0	0	0
-1068	SP2-1	319570.81	155199.2	0	0	0	0	0	0
-1045	SP2-1	319571	155199	0	0	506	0	0	507
-1058	SP2-1	319571.01	155199	0	0	505	0	0	707
-1044	SP2-1	319571	155200	0	0	505	0	0	0
-1042	SP2-1	319571.5	155194	0	0	506	0	0	507
-1043	SP2-1	319571.5	155194.5	0	0	505	0	707	507
-1065	SP2-1	319571.5	155196.5	0	0	0	500	0	707
-1054	SP2-1	319572	155194.5	0	0	505	0	0	0
-1041	SP2-1	319572	155200	0	0	0	0	0	507
-1073	SP2-1	319572.4	155195.7	0	0	505	0	0	0
-1049	SP2-1	319572.5	155194	0	0	0	606	0	0
-1053	SP2-1	319572.5	155194.5	0	0	505	0	0	505
-1005	SP2-1	319572.5	155195	0	0	505	505	0	707
-1050	SP2-1	319573	155194	0	0	0	606	0	0
-1051	SP2-1	319573.01	155194	0	0	506	0	0	0
-1055	SP2-1	319574	155195	0	0	506	0	0	0
-1057	SP2-1	319574	155195.5	0	0	505	0	0	507
-1080	SP2-1	319574	155196	0	0	505	505	607	0
-1007	SP2-1	319574	155197	0	0	506	505	607	505
-1006	SP2-1	319574	155198	0	0	506	505	607	505
-1003	SP2-1	319574.2	155195.5	506	506	0	0	607	507
-1059	SP2-1	319574.2	155197.5	0	0	506	0	0	507
-1056	SP2-1	319574.4	155195.2	0	0	505	0	0	707
-1030	SP2-1	319574.5	155194	0	0	505	507	607	707
-1063	SP2-1	319574.5	155198	0	0	506	0	0	707
-1064	SP2-1	319574.51	155198	0	0	505	0	0	707
-1037	SP2-1	319575	155194	0	0	506	0	606	507
-1038	SP2-1	319575.01	155194	0	0	0	0	607	507
-1039	SP2-1	319575.02	155194	0	0	0	0	606	507
-1040	SP2-1	319575.03	155194	0	0	505	0	707	707
-1047	SP2-1	319575.04	155194	0	0	506	0	0	707
-1048	SP2-1	319575.05	155194	0	0	505	505	0	507
-1033	SP2-1	319575	155194.5	0	0	0	0	0	0
-1046	SP2-1	319575.01	155194.5	0	0	506	0	707	507
-1076	SP2-1	319575	155195.5	0	0	505	0	607	707
-1078	SP2-1	319575	155197.5	0	0	505	0	607	707
-1079	SP2-1	319575.01	155197.5	0	0	505	0	607	707
-1061	SP2-1	319575	155199	0	0	505	0	0	507
-1034	SP2-1	319575.5	155194	0	0	506	0	0	707
-1036	SP2-1	319575.51	155194	0	0	0	505	607	707
-1011	SP2-1	319575.6	155198	0	0	505	0	607	507
-1035	SP2-1	319576	155194	0	0	505	0	607	707
-1081	SP2-1	319576.01	155194	0	0	505	505	606	0
-1082	SP2-1	319576.02	155194	0	0	505	505	0	507
-1077	SP2-1	319576	155197	0	0	0	0	0	707
-1010	SP2-1	319576	155199.5	0	0	505	0	707	0
-1008	SP2-1	319576	155200	0	0	505	505	607	707
-1009	SP2-1	319576.01	155200	0	0	505	505	606	507
-1015	SP2-2	319570	155154	0	606	505	0	606	707
-1148	SP2-2	319570	155158	606	606	505	505	606	505
-1149	SP2-2	319570	155158.5	606	606	505	0	606	505
-1150	SP2-2	319570	155159.2	506	606	505	0	607	707
-1025	SP2-2	319570	155160	506	506	506	0	0	707
-1151	SP2-2	319570.01	155160	506	606	505	505	607	707
-1146	SP2-2	319570.4	155154	606	0	0	0	0	0
-1147	SP2-2	319570.4	155157.8	0	0	505	0	0	0
-1120	SP2-2	319570.4	155160	506	606	506	505	707	607
-1014	SP2-2	319570.5	155154	0	0	506	0	607	707
-1016	SP2-2	319570.51	155154	0	0	505	0	0	507
-1139	SP2-2	319570.5	155156	506	606	505	0	0	707
-1121	SP2-2	319571	155155	606	606	505	0	0	0
-1143	SP2-2	319571.01	155155	606	0	506	0	707	507
-1126	SP2-2	319571	155156	606	606	505	0	0	707
-1138	SP2-2	319571.01	155156	506	0	505	0	0	707
-1125	SP2-2	319571	155156.2	606	606	505	0	607	505
-1124	SP2-2	319571	155156.8	0	0	505	0	0	0
-1141	SP2-2	319571.2	155154	0	0	505	0	0	0
-1142	SP2-2	319571.21	155154	0	0	505	0	707	0
-1140	SP2-2	319571.2	155155	606	506	505	505	607	707
-1137	SP2-2	319571.2	155156	0	0	505	0	707	707
-1132	SP2-2	319571.2	155157	0	0	0	505	0	707
-1122	SP2-2	319571.2	155159	606	606	506	507	0	606
-1123	SP2-2	319571.2	155159.8	0	0	505	0	0	707
-1131	SP2-2	319571.5	155156.5	606	0	505	0	707	707
-1133	SP2-2	319571.5	155157.5	606	606	505	0	607	507
-1136	SP2-2	319572	155159	606	0	506	0	607	505
-1128	SP2-2	319572	155159.5	606	606	506	0	0	707
-1129	SP2-2	319572.01	155159.5	606	606	505	0	607	507
-1127	SP2-2	319572.2	155160	606	606	505	0	707	707
-1026	SP2-2	319573	155154	0	606	0	0	0	505
-1013	SP2-2	319573	155155.5	0	0	505	0	707	607
-1145	SP2-2	319573	155156	606	0	0	0	0	0
-1134	SP2-2	319573	155156.2	606	606	506	505	707	707
-1130	SP2-2	319573	155159	606	506	505	0	606	607
-1144	SP2-2	319573.01	155159	606	0	506	0	0	707
-1018	SP2-2	319573	155160	0	0	0	0	0	507
-1135	SP2-2	319573.5	155154	505	0	505	0	607	507
-1115	SP2-2	319573.5	155159	0	0	505	505	0	707
-1028	SP2-2	319574	155157	606	606	505	0	707	505
-1019	SP2-2	319574	155160	0	0	505	0	707	507
-1023	SP2-2	319574.5	155154.5	0	0	0	0	607	707
-1024	SP2-2	319574.51	155154.5	0	0	0	0	607	707
-1032	SP2-2	319574.5	155164.5	0	0	505	0	607	507
-1022	SP2-2	319575	155154.5	0	0	0	0	606	606
-1027	SP2-2	319575	155155	506	607	505	0	606	507
-1020	SP2-2	319576	155157	0	0	0	0	0	507
-1021	SP2-2	319576	155158.5	506	606	506	0	707	707
-1017	SP2-2	319576	155160	0	0	506	0	707	707
-1031	SP2-2	319576	155165	0	0	506	0	607	707
-1202	SP4-1	319476.5	154895	606	606	505	507	707	505
-1208	SP4-1	319476.5	154896	506	606	505	505	707	707
-1186	SP4-1	319476.5	154896.5	606	606	505	0	707	707
-1189	SP4-1	319476.51	154896.5	606	606	505	505	707	507
-1210	SP4-1	319476.52	154896.5	606	606	505	505	0	505
-1184	SP4-1	319476.5	154897	606	606	506	0	707	707
-1191	SP4-1	319476.8	154895	606	606	506	505	606	507
-1192	SP4-1	319476.81	154895	606	606	505	505	707	707
-1199	SP4-1	319476.82	154895	505	606	505	507	707	707
-1197	SP4-1	319476.8	154895.2	606	606	505	505	707	707
-1180	SP4-1	319476.8	154897	606	606	505	505	607	707
-1183	SP4-1	319476.81	154897	0	0	505	505	607	707
-1217	SP4-1	319476.8	154900	606	606	505	505	607	507
-1196	SP4-1	319477	154895	606	606	505	505	707	707
-1204	SP4-1	319477.01	154895	606	606	505	507	607	707
-1203	SP4-1	319477	154895.2	606	606	505	707	607	707
-1190	SP4-1	319477	154895.5	606	606	505	0	707	707
-1201	SP4-1	319477.01	154895.5	606	606	505	0	707	707
-1200	SP4-1	319477	154895.8	606	606	506	505	607	707
-1195	SP4-1	319477	154896	506	606	505	505	607	505
-1198	SP4-1	319477.01	154896	606	606	506	507	707	707
-1216	SP4-1	319477.02	154896	606	606	505	505	607	707
-1205	SP4-1	319477	154896.5	606	606	505	505	607	607
-1171	SP4-1	319477	154897	606	606	505	0	707	707
-1172	SP4-1	319477.01	154897	606	606	505	0	607	507
-1207	SP4-1	319477.02	154897	606	606	505	505	707	507
-1212	SP4-1	319477.03	154897	606	606	506	505	607	707
-1206	SP4-1	319477	154898	606	606	506	505	707	607
-1194	SP4-1	319477	154899	606	606	505	505	707	607
-1177	SP4-1	319477.2	154897	606	606	505	505	707	507
-1178	SP4-1	319477.21	154897	606	606	505	507	607	507
-1181	SP4-1	319477.2	154898	606	606	505	0	607	507
-1163	SP4-1	319477.5	154895	506	606	505	0	707	507
-1187	SP4-1	319477.5	154898	606	606	505	0	707	607
-1176	SP4-1	319477.5	154899	506	606	505	505	606	707
-1218	SP4-1	319477.51	154899	606	606	505	505	707	707
-1164	SP4-1	319478	154895	606	606	506	0	607	707
-1188	SP4-1	319478	154898	506	606	505	0	707	707
-1193	SP4-1	319478	154899	505	606	505	505	607	507
-1161	SP4-1	319478.5	154897	606	506	505	0	606	707
-1162	SP4-1	319478.51	154897	606	607	505	0	607	707
-1166	SP4-1	319479	154895	606	606	505	0	607	707
-1167	SP4-1	319479.01	154895	606	606	505	0	607	707
-1179	SP4-1	319479	154895.2	506	607	505	505	707	707
-1155	SP4-1	319479	154895.7	606	606	505	505	607	707
-1169	SP4-1	319479.3	154895.1	606	606	505	0	607	707
-1156	SP4-1	319479.5	154895	506	606	505	505	607	707
-1157	SP4-1	319479.51	154895	506	606	505	505	606	707
-1158	SP4-1	319479.52	154895	606	606	505	505	606	507
-1165	SP4-1	319479.53	154895	606	606	505	0	707	607
-1170	SP4-1	319479.54	154895	606	606	506	0	607	607
-1168	SP4-1	319479.5	154895.2	506	606	506	0	607	0
-1182	SP4-1	319479.5	154896.8	0	0	505	0	607	507
-1185	SP4-1	319479.51	154896.8	606	0	505	0	606	707
-1173	SP4-1	319479.6	154897.4	606	606	505	0	607	707
-1160	SP4-1	319480	154896.4	606	606	505	0	607	507
-1159	SP4-1	319480	154896.6	606	606	505	0	607	707
-1238	SP4-1	319480	154897.2	506	506	505	505	707	507
-1174	SP4-1	319480	154897.8	606	606	505	505	707	707
-1175	SP4-1	319480	154898.2	606	606	505	0	607	707
-1269	SP4-2	319440.3	154890	506	606	505	505	606	707
-1242	SP4-2	319440.3	154891.5	506	606	506	505	707	707
-1288	SP4-2	319440.4	154891.8	606	606	506	505	707	507
-1266	SP4-2	319440.8	154890	506	506	505	505	707	506
-1282	SP4-2	319441	154892.5	506	606	505	506	607	707
-1263	SP4-2	319441	154892.8	506	606	506	505	707	707
-1261	SP4-2	319441.01	154892.8	506	606	505	0	607	707
-1265	SP4-2	319441.5	154892.5	506	606	505	505	707	707
-1255	SP4-2	319441.5	154893	505	606	505	0	607	707
-1287	SP4-2	319441.8	154891.5	606	606	505	505	707	507
-1264	SP4-2	319442	154890	506	506	506	505	707	707
-1243	SP4-2	319442	154891	506	505	505	505	607	707
-1286	SP4-2	319442	154891.5	606	606	506	505	607	707
-1277	SP4-2	319442.2	154892	506	606	505	505	606	607
-1262	SP4-2	319442.3	154890	506	0	505	0	707	707
-1244	SP4-2	319442.4	154891.2	506	606	505	505	607	707
-1285	SP4-2	319442.5	154891.8	606	606	505	505	707	0
-1267	SP4-2	319442.5	154892.5	506	607	506	505	606	507
-1268	SP4-2	319442.51	154892.5	606	606	505	505	707	707
-1226	SP4-2	319442.6	154890	506	606	505	505	707	707
-1225	SP4-2	319442.7	154890	506	606	505	505	707	607
-1245	SP4-2	319442.7	154891.2	506	606	505	0	607	0
-1246	SP4-2	319442.8	154891	506	606	505	0	707	0
-1224	SP4-2	319443	154890.4	506	606	505	505	607	606
-1284	SP4-2	319443	154891.8	506	606	505	506	707	505
-1273	SP4-2	319443	154892.5	506	506	505	505	707	707
-1256	SP4-2	319443	154893	506	606	505	0	606	0
-1253	SP4-2	319443	154893.5	506	606	506	0	607	507
-1283	SP4-2	319443.2	154891.8	506	606	505	505	607	507
-1222	SP4-2	319443.3	154890.5	506	606	506	507	707	0
-1249	SP4-2	319443.3	154891.2	506	606	505	0	707	507
-1248	SP4-2	319443.3	154891.4	506	0	505	0	707	0
-1223	SP4-2	319443.5	154890.5	606	606	606	505	607	707
-1251	SP4-2	319443.5	154891	606	606	506	0	607	707
-1254	SP4-2	319443.5	154891.2	606	606	505	0	707	507
-1258	SP4-2	319443.5	154893	506	606	505	0	707	505
-1252	SP4-2	319443.5	154894.5	506	606	505	0	606	0
-1280	SP4-2	319443.7	154892	606	606	505	505	707	707
-1281	SP4-2	319443.71	154892	506	606	506	505	707	606
-1279	SP4-2	319443.8	154892	506	606	506	505	607	707
-1274	SP4-2	319443.8	154892.5	606	506	505	505	707	507
-1220	SP4-2	319443.9	154890.3	606	606	506	505	607	707
-1221	SP4-2	319443.91	154890.3	606	606	506	505	707	707
-1259	SP4-2	319444	154890	606	606	505	0	607	707
-1257	SP4-2	319444	154890.8	506	606	505	0	707	607
-1278	SP4-2	319444	154891.8	506	606	505	505	607	707
-1276	SP4-2	319444	154892	506	506	506	505	707	707
-1275	SP4-2	319444	154892.5	506	606	505	505	707	507
-1260	SP4-2	319444	154893	505	606	505	0	607	707
-1250	SP4-2	319444	154893.5	506	506	505	0	707	0
-1239	SP4-2	319444	154894	606	606	505	505	707	707
-1247	SP4-2	319444	154895	606	606	506	0	607	0
-323	SP7-1	319270	154356	506	606	506	505	607	507
-324	SP7-1	319270.01	154356	606	606	505	505	506	707
-325	SP7-1	319270.02	154356	606	606	505	505	606	707
-326	SP7-1	319270.03	154356	606	606	505	505	606	707
-327	SP7-1	319270.04	154356	606	606	505	505	607	505
-328	SP7-1	319270.05	154356	506	606	505	505	607	507
-329	SP7-1	319270.06	154356	506	606	505	505	606	507
-330	SP7-1	319270.07	154356	606	606	505	505	707	507
-331	SP7-1	319270.08	154356	606	606	506	505	707	507
-332	SP7-1	319270.09	154356	606	606	505	505	607	707
-333	SP7-1	319270.1	154356	606	606	506	505	607	506
-317	SP7-1	319270	154358.5	606	606	505	505	606	507
-318	SP7-1	319270.01	154358.5	606	606	505	505	707	707
-319	SP7-1	319270.02	154358.5	606	606	505	505	607	707
-320	SP7-1	319270.03	154358.5	506	606	506	505	607	505
-321	SP7-1	319270.04	154358.5	506	506	606	707	707	506
-322	SP7-1	319270.05	154358.5	606	606	505	505	606	707
-343	SP7-1	319271.8	154357.5	506	606	505	0	607	707
-310	SP7-1	319272	154355	606	606	505	0	707	707
-338	SP7-1	319272	154356	606	606	506	0	606	607
-337	SP7-1	319272	154356.5	606	606	606	0	606	507
-349	SP7-1	319272	154358.8	506	606	505	505	607	507
-344	SP7-1	319272.5	154358	606	606	505	0	707	707
-345	SP7-1	319272.51	154358	606	606	505	507	707	707
-346	SP7-1	319272.52	154358	606	606	505	505	607	707
-357	SP7-1	319272.53	154358	606	707	505	507	607	707
-348	SP7-1	319272.5	154359	506	506	505	505	607	707
-350	SP7-1	319272.51	154359	506	606	505	505	606	707
-351	SP7-1	319272.52	154359	606	606	505	507	707	707
-355	SP7-1	319272.53	154359	606	607	505	505	707	707
-342	SP7-1	319272.6	154359	606	607	506	505	607	507
-341	SP7-1	319273	154359	606	506	505	505	606	707
-311	SP7-1	319273.01	154359	606	606	506	0	607	506
-335	SP7-1	319273.5	154355.5	606	606	506	0	707	607
-334	SP7-1	319273.5	154356	506	606	505	505	707	707
-336	SP7-1	319273.51	154356	606	606	506	0	707	707
-356	SP7-1	319273.5	154359	606	606	506	505	606	507
-358	SP7-1	319273.51	154359	606	606	506	0	607	507
-312	SP7-1	319274	154356	506	606	505	505	607	507
-339	SP7-1	319274	154357	606	606	506	505	606	707
-340	SP7-1	319274	154357.5	606	606	505	505	707	507
-315	SP7-1	319274	154359	505	607	505	505	606	707
-347	SP7-1	319274.01	154359	506	606	505	0	607	507
-354	SP7-1	319274.2	154358.5	606	606	505	0	707	707
-353	SP7-1	319274.4	154358.8	606	606	505	0	607	607
-352	SP7-1	319274.5	154358.6	606	606	505	507	707	707
-316	SP7-1	319274.5	154359	406	606	505	505	0	707
-313	SP7-1	319275	154356	606	606	505	0	707	607
-314	SP7-1	319275	154359	506	606	505	505	707	707
-416	SP7-2	319237.6	154364	0	0	505	0	707	0
-374	SP7-2	319240	154357	0	606	606	0	0	707
-367	SP7-2	319240	154358	606	606	505	0	607	507
-419	SP7-2	319240	154361	0	0	505	0	707	607
-403	SP7-2	319240	154362	0	0	505	0	606	507
-406	SP7-2	319240.2	154362.4	0	0	0	0	0	0
-384	SP7-2	319240.5	154360.3	0	606	506	505	707	507
-380	SP7-2	319240.8	154360.2	0	606	506	0	607	507
-376	SP7-2	319240.8	154361	0	606	505	0	607	507
-375	SP7-2	319240.9	154359.8	0	606	505	507	707	507
-372	SP7-2	319240.9	154360.2	0	606	506	0	607	607
-398	SP7-2	319241	154357	0	0	505	0	707	506
-365	SP7-2	319241	154359	606	606	506	0	707	0
-382	SP7-2	319241	154359.7	0	606	506	0	707	507
-386	SP7-2	319241.01	154359.7	0	606	505	0	607	707
-370	SP7-2	319241	154360.2	0	606	505	0	607	707
-371	SP7-2	319241.01	154360.2	0	606	505	0	607	505
-373	SP7-2	319241.02	154360.2	0	606	506	0	607	507
-420	SP7-2	319241.1	154360.4	0	0	505	0	606	507
-422	SP7-2	319241.1	154360.5	0	0	505	0	707	707
-421	SP7-2	319241.1	154360.6	0	0	505	0	606	707
-397	SP7-2	319241.1	154360.9	0	0	505	0	607	607
-399	SP7-2	319241.11	154360.9	0	0	505	0	607	505
-424	SP7-2	319241.12	154360.9	0	607	506	0	707	707
-381	SP7-2	319241.2	154360.2	0	606	506	0	707	707
-408	SP7-2	319241.2	154362.8	0	0	505	0	707	507
-405	SP7-2	319241.3	154362.8	0	0	0	0	0	507
-377	SP7-2	319241.4	154359.5	0	606	506	0	707	507
-379	SP7-2	319241.41	154359.5	0	606	506	0	0	507
-359	SP7-2	319241.5	154353	0	606	505	0	607	707
-360	SP7-2	319241.51	154353	606	606	505	0	607	507
-361	SP7-2	319241.52	154353	506	606	505	505	707	607
-378	SP7-2	319241.5	154359.5	0	606	505	0	606	507
-368	SP7-2	319241.5	154359.6	606	606	606	0	707	707
-388	SP7-2	319241.5	154360.2	0	0	505	0	707	707
-400	SP7-2	319241.5	154361.2	0	0	505	0	606	707
-401	SP7-2	319241.51	154361.2	0	0	505	0	607	707
-402	SP7-2	319241.5	154362.5	0	0	505	0	607	507
-417	SP7-2	319241.5	154365	0	0	506	0	607	707
-369	SP7-2	319241.6	154360	606	606	505	0	607	707
-363	SP7-2	319241.8	154359.5	506	606	506	0	707	607
-413	SP7-2	319241.8	154361	0	0	505	0	607	507
-414	SP7-2	319241.81	154361	0	0	506	0	607	707
-362	SP7-2	319242	154358	0	606	505	0	707	507
-387	SP7-2	319242.01	154358	0	606	505	0	607	707
-423	SP7-2	319242	154360.8	0	0	505	0	707	505
-409	SP7-2	319242	154363	0	0	505	0	707	507
-392	SP7-2	319242	154365	0	0	505	0	707	607
-411	SP7-2	319242.2	154363	0	0	506	0	607	707
-412	SP7-2	319242.21	154363	0	0	505	0	707	607
-407	SP7-2	319242.3	154363	0	0	505	0	607	707
-410	SP7-2	319242.31	154363	0	0	506	0	707	507
-366	SP7-2	319243	154358	506	606	506	507	707	707
-385	SP7-2	319243.01	154358	0	606	506	0	607	505
-391	SP7-2	319243	154359.9	0	0	505	0	707	505
-390	SP7-2	319243	154360	0	0	506	0	607	707
-418	SP7-2	319243.01	154360	0	0	506	0	707	707
-383	SP7-2	319243	154361	606	606	505	0	707	607
-395	SP7-2	319243.01	154361	0	0	505	0	607	507
-396	SP7-2	319243	154362	0	0	505	0	606	707
-415	SP7-2	319243	154363	0	0	505	0	707	507
-393	SP7-2	319243	154365	0	0	505	0	606	707
-364	SP7-2	319244	154357	506	606	505	507	707	507
-389	SP7-2	319244	154359	0	0	505	0	606	607
-394	SP7-2	319244	154365	0	0	505	0	707	707
-404	SP7-2	319245	154362	0	0	506	0	707	507
-1650	SP12-1	319136	153696	506	606	505	505	707	707
-1657	SP12-1	319136	153696.5	606	606	505	505	606	707
-1612	SP12-1	319136	153696.8	606	606	506	505	607	707
-1653	SP12-1	319136	153697	606	606	505	505	506	607
-1564	SP12-1	319136	153701	606	606	505	505	606	707
-1613	SP12-1	319136.8	153696.8	506	606	505	507	606	707
-1608	SP12-1	319136.8	153697.8	506	606	505	505	606	507
-1655	SP12-1	319137.2	153696.5	607	606	505	505	606	707
-1610	SP12-1	319138.5	153698	606	506	505	505	606	506
-1560	SP12-1	319138.5	153701.5	606	607	505	505	607	507
-1595	SP12-1	319139	153697.5	606	606	506	506	606	707
-1559	SP12-1	319139	153700	606	606	505	505	606	607
-1606	SP12-1	319139.5	153697.5	506	606	505	505	607	507
-1607	SP12-1	319139.51	153697.5	606	606	505	505	607	506
-1558	SP12-1	319139.5	153702	606	606	505	505	606	507
-1566	SP12-1	319139.5	153703	606	506	505	505	606	507
-1568	SP12-1	319139.51	153703	606	506	506	505	607	507
-1659	SP12-1	319140	153696	606	606	505	505	607	707
-1656	SP12-1	319140.2	153696	506	606	505	507	707	507
-1569	SP12-1	319140.5	153703	505	606	505	505	707	606
-1584	SP12-1	319140.5	153704	606	606	505	505	606	507
-1585	SP12-1	319140.51	153704	606	606	505	507	606	505
-1658	SP12-1	319140.8	153696	606	606	505	505	707	707
-1592	SP12-1	319141	153697	606	606	506	505	606	707
-1593	SP12-1	319141.01	153697	506	606	506	506	507	506
-1553	SP12-1	319141	153698.5	606	506	505	505	607	707
-1552	SP12-1	319141	153699	506	606	505	505	707	506
-1556	SP12-1	319141	153699.5	506	606	505	505	507	707
-1570	SP12-1	319141	153703	505	606	505	505	606	707
-1583	SP12-1	319141	153704	606	606	505	507	606	505
-1576	SP12-1	319141.2	153696.8	606	606	505	505	606	707
-1661	SP12-1	319141.5	153696.2	606	606	506	507	0	0
-1591	SP12-1	319141.5	153696.5	606	606	505	505	606	707
-1660	SP12-1	319142	153696	606	606	505	505	607	507
-1561	SP12-1	319142	153697	606	506	505	505	707	0
-1563	SP12-1	319142	153697.5	606	606	505	505	607	707
-1567	SP12-1	319142.01	153697.5	606	606	505	505	607	707
-1574	SP12-1	319142.02	153697.5	606	606	505	505	606	607
-1575	SP12-1	319142.03	153697.5	606	606	505	606	707	707
-1590	SP12-1	319142.2	153697.5	606	606	505	505	606	707
-1652	SP12-1	319142.5	153696.5	506	606	505	505	506	707
-1651	SP12-1	319142.5	153697	606	606	505	505	607	707
-1573	SP12-1	319142.5	153704	606	606	505	506	507	0
-1582	SP12-1	319142.51	153704	606	606	505	505	0	707
-1604	SP12-1	319143	153696	606	606	505	505	707	607
-1581	SP12-1	319143	153698.5	506	606	505	505	0	607
-1609	SP12-1	319143.2	153697.8	606	506	505	505	606	0
-1662	SP12-1	319143.5	153696.4	606	606	505	505	606	707
-1611	SP12-1	319143.5	153696.8	606	606	506	505	507	606
-1602	SP12-1	319143.5	153697.8	606	606	506	505	607	507
-1580	SP12-1	319143.5	153698.5	506	606	505	505	0	707
-1605	SP12-1	319144	153696	606	606	505	506	606	707
-1654	SP12-1	319144	153696.2	606	606	505	505	506	707
-1562	SP12-1	319144	153696.5	606	607	505	505	606	707
-1551	SP12-1	319144	153697	606	606	505	505	606	507
-1601	SP12-1	319144	153697.8	606	606	505	505	607	0
-1578	SP12-1	319144	153698.5	606	606	505	507	707	607
-1579	SP12-1	319144.01	153698.5	606	606	505	507	707	607
-1554	SP12-1	319144	153699	606	606	505	505	606	707
-1555	SP12-1	319144.01	153699	506	606	506	505	607	707
-1565	SP12-1	319144.02	153699	606	606	505	505	607	707
-1557	SP12-1	319144	153699.5	606	707	505	505	607	707
-1571	SP12-1	319144	153703.5	606	606	505	505	606	507
-1572	SP12-1	319144.01	153703.5	606	606	505	505	0	707
-1577	SP12-1	319144	153704	606	606	505	505	606	507
-1486	SP12-2	319095	153696	505	606	505	505	606	707
-1524	SP12-2	319095.2	153696	606	606	505	505	607	505
-1550	SP12-2	319095.5	153695.5	606	606	506	707	606	507
-1545	SP12-2	319095.8	153695.2	505	606	505	505	607	507
-1512	SP12-2	319096	153695.5	606	606	505	507	707	507
-1526	SP12-2	319096	153696	606	606	505	505	606	507
-1479	SP12-2	319096.5	153694.5	606	606	506	507	606	607
-1513	SP12-2	319096.5	153695.5	606	606	505	505	606	505
-1480	SP12-2	319096.51	153694.5	405	606	505	505	607	607
-1540	SP12-2	319097	153694	606	606	505	505	606	507
-1527	SP12-2	319097	153696	606	506	505	506	607	707
-1529	SP12-2	319097.2	153696	406	505	505	507	606	507
-1506	SP12-2	319097.5	153694.5	506	606	505	505	607	606
-1546	SP12-2	319098	153693	506	606	505	507	606	507
-1477	SP12-2	319098	153695	606	606	505	707	707	607
-1487	SP12-2	319098	153695.5	606	606	505	505	707	507
-1478	SP12-2	319098.01	153695	506	606	505	507	607	707
-1535	SP12-2	319098.4	153692.6	506	606	505	505	606	707
-1536	SP12-2	319098.41	153692.6	606	606	505	505	607	507
-1587	SP12-2	319098.5	153689	606	606	505	507	506	507
-1586	SP12-2	319098.5	153691.5	506	606	505	505	606	607
-1481	SP12-2	319098.7	153694	406	606	506	507	707	507
-1541	SP12-2	319098.8	153692.2	606	506	506	505	607	707
-1492	SP12-2	319098.8	153694	606	606	505	507	707	507
-1491	SP12-2	319098.8	153694.5	606	506	506	507	707	707
-1494	SP12-2	319098.81	153694	606	606	505	505	607	707
-1534	SP12-2	319099	153692	506	606	505	507	707	507
-1476	SP12-2	319099	153695	506	606	506	507	707	507
-1537	SP12-2	319099.01	153692	506	606	505	505	606	707
-1542	SP12-2	319099.02	153692	606	607	505	505	607	707
-1543	SP12-2	319099.03	153692	606	606	505	507	707	506
-1594	SP12-2	319099.04	153692	606	606	505	407	607	507
-1495	SP12-2	319099.2	153694	606	606	506	505	707	507
-1547	SP12-2	319099.5	153691.5	506	606	505	507	707	507
-1496	SP12-2	319099.5	153694	606	606	506	505	707	505
-1517	SP12-2	319099.5	153695.8	606	606	505	506	707	707
-1589	SP12-2	319099.8	153691	506	606	506	505	607	507
-1603	SP12-2	319099.8	153691.2	606	606	505	505	707	707
-1533	SP12-2	319100	153691	606	606	505	505	507	707
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-1600	SP12-2	319100	153692.2	606	606	505	505	707	507
-1532	SP12-2	319100	153692.6	506	506	505	505	607	507
-1498	SP12-2	319100	153694	606	606	505	507	607	607
-1488	SP12-2	319100	153695.5	606	506	506	506	707	707
-1482	SP12-2	319100	153696	506	607	505	505	607	607
-1538	SP12-2	319100.01	153691	506	606	505	507	607	707
-1597	SP12-2	319100.01	153692	606	707	505	505	707	707
-1483	SP12-2	319100.01	153696	506	606	505	507	607	607
-1539	SP12-2	319100.02	153691	606	606	505	505	606	707
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-1548	SP12-2	319100.03	153691	506	506	505	505	607	707
-1485	SP12-2	319100.03	153696	606	506	505	505	607	507
-1549	SP12-2	319100.04	153691	506	606	506	507	707	707
-1588	SP12-2	319100.05	153691	505	606	505	505	606	607
-1490	SP12-2	319100.1	153695.5	606	607	505	505	707	707
-1518	SP12-2	319100.2	153693.5	506	606	505	507	606	606
-1522	SP12-2	319100.21	153693.5	606	506	505	505	607	607
-1598	SP12-2	319100.5	153692	606	606	505	507	607	707
-1599	SP12-2	319100.5	153692.2	606	606	505	505	607	707
-1519	SP12-2	319100.5	153693.5	606	606	505	606	606	707
-1501	SP12-2	319100.5	153694	0	606	505	507	607	507
-1499	SP12-2	319100.5	153694.2	606	606	506	507	607	707
-1474	SP12-2	319100.5	153695	606	606	505	507	707	707
-1489	SP12-2	319100.5	153695.5	606	606	506	507	607	707
-1531	SP12-2	319100.5	153696	606	505	506	505	607	507
-1502	SP12-2	319100.51	153694	606	606	505	505	606	507
-1500	SP12-2	319100.51	153694.2	606	606	505	707	707	606
-1475	SP12-2	319100.51	153695	606	607	505	507	707	505
-1725	SP12-2	319100.52	153695	606	505	505	505	606	606
-1520	SP12-2	319101	153693.8	406	606	505	505	607	507
-1503	SP12-2	319101	153694	606	606	505	505	707	707
-1507	SP12-2	319101	153694.5	606	606	505	507	607	707
-1516	SP12-2	319101	153696	606	506	505	505	606	506
-1530	SP12-2	319101.01	153696	506	505	505	506	607	507
-1521	SP12-2	319101.2	153693.8	606	606	505	505	606	505
-1523	SP12-2	319101.2	153696	606	606	505	507	607	507
-1525	SP12-2	319101.5	153696	606	506	505	707	607	507
-1504	SP12-2	319101.8	153694	506	506	506	707	607	707
-1528	SP12-2	319101.8	153696	404	505	505	505	606	707
-1505	SP12-2	319102	153694	606	606	505	507	707	507
-1508	SP12-2	319102	153694.5	506	606	505	505	707	505
-1510	SP12-2	319102	153695	505	506	505	505	707	507
-1493	SP12-2	319102	153696	405	606	505	507	707	707
-1509	SP12-2	319102.01	153694	606	606	505	505	607	607
-1511	SP12-2	319102.01	153695	606	606	505	505	707	707
-1497	SP12-2	319102.01	153696	506	606	505	507	607	507
-1514	SP12-2	319102.02	153696	606	606	505	505	607	507
-1515	SP12-2	319102.03	153696	606	606	505	505	606	507
-258	SP15-1	319557	153324.9	606	506	506	505	707	707
-256	SP15-1	319557	153325	606	0	505	505	0	506
-257	SP15-1	319557.01	153325	606	606	506	505	506	606
-259	SP15-1	319557	153326.2	606	505	505	707	606	505
-260	SP15-1	319557	153326.8	506	606	506	507	606	506
-255	SP15-1	319557.6	153324.7	606	0	0	505	707	707
-254	SP15-1	319558	153328	606	0	505	505	607	507
-240	SP15-1	319558.5	153327	606	606	505	0	606	707
-251	SP15-1	319558.51	153327	606	506	505	707	607	606
-252	SP15-1	319558.5	153327.2	606	606	506	505	607	707
-243	SP15-1	319559	153326.8	606	606	505	707	607	707
-250	SP15-1	319559	153327	506	606	505	505	606	507
-244	SP15-1	319559	153327.5	606	606	505	0	606	507
-253	SP15-1	319559.2	153329.5	606	0	505	505	607	507
-242	SP15-1	319559.5	153326	606	606	505	0	607	707
-248	SP15-1	319559.5	153327	606	0	506	505	607	507
-247	SP15-1	319560	153324.5	606	606	505	507	606	507
-197	SP15-1	319560	153327	0	0	505	505	606	707
-199	SP15-1	319560.01	153327	0	0	506	505	707	507
-246	SP15-1	319560	153328	606	0	505	0	606	507
-249	SP15-1	319560	153329.8	606	0	506	505	606	607
-218	SP15-1	319560.2	153327.2	0	606	505	505	607	507
-214	SP15-1	319560.3	153324.5	606	606	506	505	606	507
-217	SP15-1	319560.3	153328	506	606	506	505	606	507
-209	SP15-1	319560.5	153324	0	606	505	505	607	707
-215	SP15-1	319560.5	153325	606	606	506	507	606	507
-241	SP15-1	319560.5	153326.5	606	606	505	0	607	707
-213	SP15-1	319560.8	153323.8	0	606	505	505	607	707
-205	SP15-1	319561	153324	606	0	506	505	607	707
-212	SP15-1	319561	153324.2	0	606	505	505	606	707
-196	SP15-1	319561	153327	0	0	505	505	606	607
-211	SP15-1	319561.01	153327	0	606	505	507	606	507
-210	SP15-1	319561	153329	0	606	505	505	606	507
-206	SP15-1	319561.5	153325	606	0	506	505	606	707
-207	SP15-1	319561.5	153327	606	0	505	505	607	607
-208	SP15-1	319561.51	153327	606	0	506	505	607	707
-204	SP15-1	319561.8	153325	606	0	505	505	606	507
-203	SP15-1	319561.8	153326.2	606	0	506	505	607	505
-202	SP15-1	319562	153324	606	0	505	505	607	707
-191	SP15-1	319562	153326	0	0	506	0	606	507
-192	SP15-1	319562.01	153326	0	0	506	0	606	707
-193	SP15-1	319562.02	153326	0	0	506	0	606	707
-194	SP15-1	319562.03	153326	0	0	505	505	607	505
-195	SP15-1	319562.04	153326	0	0	506	505	606	507
-239	SP15-1	319562.05	153326	606	606	506	505	607	505
-245	SP15-1	319562.06	153326	606	0	505	505	707	505
-200	SP15-1	319562.5	153325.5	0	0	505	505	607	507
-198	SP15-1	319563	153324	0	0	505	505	606	707
-201	SP15-1	319563	153327	606	0	505	505	607	507
-130	SP15-2	319544	153285	606	606	506	505	0	707
-131	SP15-2	319544	153286	606	606	506	505	606	507
-132	SP15-2	319544.01	153286	606	606	505	505	607	707
-133	SP15-2	319544	153290.5	606	606	506	505	607	707
-129	SP15-2	319544	153291	606	606	505	505	707	707
-134	SP15-2	319544.01	153291	606	606	505	505	607	707
-135	SP15-2	319544.02	153291	606	606	505	505	607	707
-137	SP15-2	319545	153285.4	606	606	506	0	606	507
-138	SP15-2	319545	153286.2	506	606	505	0	607	707
-139	SP15-2	319545.01	153286.2	606	606	505	507	607	707
-141	SP15-2	319545	153287	606	606	505	505	707	505
-142	SP15-2	319545.01	153287	506	0	505	505	606	606
-143	SP15-2	319545	153290	506	0	506	507	607	506
-145	SP15-2	319545	153290.7	606	606	506	505	606	607
-146	SP15-2	319545	153291	606	606	505	505	607	607
-147	SP15-2	319545.01	153291	606	606	506	505	606	507
-148	SP15-2	319545.02	153291	606	606	506	505	607	707
-149	SP15-2	319545.03	153291	606	606	506	505	606	707
-136	SP15-2	319545.2	153285	606	606	505	505	707	707
-150	SP15-2	319545.21	153285	606	606	505	505	606	707
-140	SP15-2	319545.2	153286.2	505	606	505	505	606	707
-151	SP15-2	319545.5	153285	606	606	506	505	606	505
-154	SP15-2	319545.5	153285.8	606	606	505	505	606	707
-157	SP15-2	319545.5	153289	606	606	505	505	607	505
-156	SP15-2	319545.7	153287	506	606	506	505	607	707
-152	SP15-2	319545.8	153285.8	606	606	505	505	607	507
-153	SP15-2	319545.8	153286	606	606	505	505	607	606
-160	SP15-2	319546	153285	606	606	606	505	607	507
-161	SP15-2	319546.01	153285	606	606	505	505	607	707
-166	SP15-2	319546	153285.3	606	0	505	505	707	507
-158	SP15-2	319546	153290.8	606	606	505	505	607	707
-171	SP15-2	319546.2	153286	506	0	505	505	607	607
-168	SP15-2	319546.2	153286.8	606	606	505	507	607	707
-169	SP15-2	319546.2	153287	606	0	505	505	607	507
-170	SP15-2	319546.4	153285.8	606	0	505	505	607	707
-167	SP15-2	319546.7	153285.8	506	0	506	505	607	505
-178	SP15-2	319546.8	153290.2	606	0	506	505	607	707
-179	SP15-2	319546.8	153290.5	606	0	505	505	606	507
-162	SP15-2	319546.9	153285.2	606	606	505	505	606	505
-174	SP15-2	319546.9	153289.2	606	0	606	505	707	507
-180	SP15-2	319547	153285.1	606	0	505	505	607	507
-163	SP15-2	319547	153285.2	606	0	506	505	607	707
-164	SP15-2	319547	153285.4	606	0	505	505	607	507
-165	SP15-2	319547.01	153285.4	606	0	505	505	606	607
-185	SP15-2	319547	153286.4	606	0	505	505	606	707
-188	SP15-2	319547	153287	606	0	505	505	606	707
-173	SP15-2	319547	153289	506	0	505	505	606	507
-175	SP15-2	319547	153289.5	506	0	505	507	606	507
-176	SP15-2	319547	153289.9	606	0	505	507	506	507
-159	SP15-2	319547	153291	606	606	506	505	606	707
-181	SP15-2	319547.2	153285.2	506	0	505	505	506	707
-182	SP15-2	319547.2	153285.3	606	0	505	505	607	507
-184	SP15-2	319547.2	153286	606	0	505	505	607	607
-177	SP15-2	319547.2	153290	606	0	505	507	607	507
-183	SP15-2	319547.5	153286	606	0	505	505	607	507
-187	SP15-2	319547.5	153286.5	606	0	505	505	707	707
-144	SP15-2	319547.5	153291	606	0	506	507	606	507
-236	SP15-2	319547.51	153291	606	0	505	0	606	507
-237	SP15-2	319547.52	153291	606	606	505	505	606	507
-155	SP15-2	319547.7	153287	606	606	505	505	507	707
-189	SP15-2	319547.7	153288.8	606	0	505	505	606	707
-190	SP15-2	319547.8	153290	606	0	506	505	707	707
-235	SP15-2	319548	153285	606	606	505	0	606	507
-186	SP15-2	319548	153286.8	606	0	506	505	606	607
-229	SP15-2	319548	153287.5	606	0	0	507	0	707
-230	SP15-2	319548.01	153287.5	606	0	0	505	707	507
-231	SP15-2	319548.02	153287.5	606	0	505	505	707	707
-232	SP15-2	319548.03	153287.5	606	0	606	505	707	707
-228	SP15-2	319548	153290.5	606	606	505	505	607	507
-233	SP15-2	319548.2	153286	606	0	505	0	707	507
-234	SP15-2	319548.5	153286	606	0	0	0	607	507
-227	SP15-2	319548.5	153286.5	606	0	506	505	607	707
-223	SP15-2	319548.5	153290.8	606	606	505	505	606	507
-224	SP15-2	319548.8	153289	606	606	506	507	606	707
-226	SP15-2	319548.9	153287.9	606	606	506	0	707	707
-225	SP15-2	319549	153288	606	606	606	707	606	507
-222	SP15-2	319549	153290	606	606	506	507	607	507
-238	SP15-2	319549	153290.8	606	606	505	505	606	707
-219	SP15-2	319549.2	153288.2	606	606	506	0	707	707
-262	SP15-2	319549.3	153288.8	606	606	506	507	606	507
-221	SP15-2	319549.5	153286.5	606	606	506	505	606	506
-220	SP15-2	319549.6	153287.5	606	606	505	505	606	707
-261	SP15-2	319549.6	153288.2	606	606	505	505	607	707
-279	SP15-2	319549.9	153289.7	606	606	506	505	607	707
-276	SP15-2	319550	153285.2	606	606	505	0	707	707
-277	SP15-2	319550	153288.8	606	606	506	505	707	707
-278	SP15-2	319550	153289.5	606	606	606	505	707	707
-280	SP15-2	319550	153290	606	606	606	505	606	707
-END
-// the word END is compulsory at the end of the list of individuals data
-
+// This is an example of data file for the software SPAGeDi, written by O. Hardy and X. Vekemans
+//
+// Any line begining by   //   is a comment line, not read by the program. They can be put anywhere.
+// Empty lines must also begin by  //
+//
+// This example gives the genotypes at 6 enzymatic loci for 629 individuals of Chamaecrista fasciculata
+// (Asteraceae) that were collected by C. B. Fenster in 10 subpopulations from a 1km x 2km metapopulation
+// (the data set given here is incomplete).
+// Subpopulations are identified by the categorical group.
+// For this data set, SPAGeDi permits to assess :
+//  - isolation by distance within each subpopulation
+//     (analysis at individual level, restricted within a given subpopulation, reference allele frequencies = within category)
+//  - average isolation by distance within subpopulations
+//     (analysis at individual level, restricted within subpopulations, reference allele frequencies = within category)
+//  - isolation by distance among subpopulations
+//     (analysis at population level, population = categorical group)
+//
+// 1st non comment line : set of 6 numbers separated by a tabulation and representing :
+// #individuals	#categories	#coordinates	#loci	#digits/allele	max ploidy
+// 2nd non comment line : # of distance intervals followed by the upper distance of each interval.
+// 3rd non comment line : column labels (<=15 characters).
+// 4th and next lines : data for each individual in the following order: Ind name, category, coordinates, genotypes
+629	10	2	6	2	2
+13	0.75	1.25	1.75	2.25	3	4	5	20	75	200	500	1000	2000
+Ind	SubPop	X	Y	E1	E2	E3	E5	E7	E8
+1071	SP2-1	319570	155194	606	606	505	0	707	505
+1072	SP2-1	319570	155195.8	0	0	505	0	506	707
+1052	SP2-1	319570	155196	0	0	505	0	0	707
+1075	SP2-1	319570.01	155196	0	0	505	0	707	0
+1069	SP2-1	319570	155198.5	0	0	506	0	707	507
+1070	SP2-1	319570	155200	0	0	505	0	607	507
+1004	SP2-1	319570.1	155199.2	0	0	0	0	0	707
+1012	SP2-1	319570.3	155199.5	0	0	505	0	606	707
+1074	SP2-1	319570.4	155195.7	0	0	505	505	606	0
+1066	SP2-1	319570.5	155197	0	0	0	0	0	0
+1062	SP2-1	319570.7	155195	0	0	0	0	0	707
+1060	SP2-1	319570.8	155194	0	0	505	0	0	707
+1067	SP2-1	319570.8	155199.2	0	0	0	0	0	0
+1068	SP2-1	319570.81	155199.2	0	0	0	0	0	0
+1045	SP2-1	319571	155199	0	0	506	0	0	507
+1058	SP2-1	319571.01	155199	0	0	505	0	0	707
+1044	SP2-1	319571	155200	0	0	505	0	0	0
+1042	SP2-1	319571.5	155194	0	0	506	0	0	507
+1043	SP2-1	319571.5	155194.5	0	0	505	0	707	507
+1065	SP2-1	319571.5	155196.5	0	0	0	500	0	707
+1054	SP2-1	319572	155194.5	0	0	505	0	0	0
+1041	SP2-1	319572	155200	0	0	0	0	0	507
+1073	SP2-1	319572.4	155195.7	0	0	505	0	0	0
+1049	SP2-1	319572.5	155194	0	0	0	606	0	0
+1053	SP2-1	319572.5	155194.5	0	0	505	0	0	505
+1005	SP2-1	319572.5	155195	0	0	505	505	0	707
+1050	SP2-1	319573	155194	0	0	0	606	0	0
+1051	SP2-1	319573.01	155194	0	0	506	0	0	0
+1055	SP2-1	319574	155195	0	0	506	0	0	0
+1057	SP2-1	319574	155195.5	0	0	505	0	0	507
+1080	SP2-1	319574	155196	0	0	505	505	607	0
+1007	SP2-1	319574	155197	0	0	506	505	607	505
+1006	SP2-1	319574	155198	0	0	506	505	607	505
+1003	SP2-1	319574.2	155195.5	506	506	0	0	607	507
+1059	SP2-1	319574.2	155197.5	0	0	506	0	0	507
+1056	SP2-1	319574.4	155195.2	0	0	505	0	0	707
+1030	SP2-1	319574.5	155194	0	0	505	507	607	707
+1063	SP2-1	319574.5	155198	0	0	506	0	0	707
+1064	SP2-1	319574.51	155198	0	0	505	0	0	707
+1037	SP2-1	319575	155194	0	0	506	0	606	507
+1038	SP2-1	319575.01	155194	0	0	0	0	607	507
+1039	SP2-1	319575.02	155194	0	0	0	0	606	507
+1040	SP2-1	319575.03	155194	0	0	505	0	707	707
+1047	SP2-1	319575.04	155194	0	0	506	0	0	707
+1048	SP2-1	319575.05	155194	0	0	505	505	0	507
+1033	SP2-1	319575	155194.5	0	0	0	0	0	0
+1046	SP2-1	319575.01	155194.5	0	0	506	0	707	507
+1076	SP2-1	319575	155195.5	0	0	505	0	607	707
+1078	SP2-1	319575	155197.5	0	0	505	0	607	707
+1079	SP2-1	319575.01	155197.5	0	0	505	0	607	707
+1061	SP2-1	319575	155199	0	0	505	0	0	507
+1034	SP2-1	319575.5	155194	0	0	506	0	0	707
+1036	SP2-1	319575.51	155194	0	0	0	505	607	707
+1011	SP2-1	319575.6	155198	0	0	505	0	607	507
+1035	SP2-1	319576	155194	0	0	505	0	607	707
+1081	SP2-1	319576.01	155194	0	0	505	505	606	0
+1082	SP2-1	319576.02	155194	0	0	505	505	0	507
+1077	SP2-1	319576	155197	0	0	0	0	0	707
+1010	SP2-1	319576	155199.5	0	0	505	0	707	0
+1008	SP2-1	319576	155200	0	0	505	505	607	707
+1009	SP2-1	319576.01	155200	0	0	505	505	606	507
+1015	SP2-2	319570	155154	0	606	505	0	606	707
+1148	SP2-2	319570	155158	606	606	505	505	606	505
+1149	SP2-2	319570	155158.5	606	606	505	0	606	505
+1150	SP2-2	319570	155159.2	506	606	505	0	607	707
+1025	SP2-2	319570	155160	506	506	506	0	0	707
+1151	SP2-2	319570.01	155160	506	606	505	505	607	707
+1146	SP2-2	319570.4	155154	606	0	0	0	0	0
+1147	SP2-2	319570.4	155157.8	0	0	505	0	0	0
+1120	SP2-2	319570.4	155160	506	606	506	505	707	607
+1014	SP2-2	319570.5	155154	0	0	506	0	607	707
+1016	SP2-2	319570.51	155154	0	0	505	0	0	507
+1139	SP2-2	319570.5	155156	506	606	505	0	0	707
+1121	SP2-2	319571	155155	606	606	505	0	0	0
+1143	SP2-2	319571.01	155155	606	0	506	0	707	507
+1126	SP2-2	319571	155156	606	606	505	0	0	707
+1138	SP2-2	319571.01	155156	506	0	505	0	0	707
+1125	SP2-2	319571	155156.2	606	606	505	0	607	505
+1124	SP2-2	319571	155156.8	0	0	505	0	0	0
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+228	SP15-2	319548	153290.5	606	606	505	505	607	507
+233	SP15-2	319548.2	153286	606	0	505	0	707	507
+234	SP15-2	319548.5	153286	606	0	0	0	607	507
+227	SP15-2	319548.5	153286.5	606	0	506	505	607	707
+223	SP15-2	319548.5	153290.8	606	606	505	505	606	507
+224	SP15-2	319548.8	153289	606	606	506	507	606	707
+226	SP15-2	319548.9	153287.9	606	606	506	0	707	707
+225	SP15-2	319549	153288	606	606	606	707	606	507
+222	SP15-2	319549	153290	606	606	506	507	607	507
+238	SP15-2	319549	153290.8	606	606	505	505	606	707
+219	SP15-2	319549.2	153288.2	606	606	506	0	707	707
+262	SP15-2	319549.3	153288.8	606	606	506	507	606	507
+221	SP15-2	319549.5	153286.5	606	606	506	505	606	506
+220	SP15-2	319549.6	153287.5	606	606	505	505	606	707
+261	SP15-2	319549.6	153288.2	606	606	505	505	607	707
+279	SP15-2	319549.9	153289.7	606	606	506	505	607	707
+276	SP15-2	319550	153285.2	606	606	505	0	707	707
+277	SP15-2	319550	153288.8	606	606	506	505	707	707
+278	SP15-2	319550	153289.5	606	606	606	505	707	707
+280	SP15-2	319550	153290	606	606	606	505	606	707
+END
diff --git a/example_data/DataSSR-with_spatial_distance_matrix.txt b/example_data/DataSSR-with_spatial_distance_matrix.txt
index 26c7e98..11cfd7a 100644
--- a/example_data/DataSSR-with_spatial_distance_matrix.txt
+++ b/example_data/DataSSR-with_spatial_distance_matrix.txt
@@ -1,265 +1,263 @@
-// This is an example of data file for the software SPAGeDi, written by O. Hardy and X. Vekemans
-//											
-// Any line begining by   "   or  //  or  /*   is a comment line, not read by the program. They can be put anywhere.
-// Empty lines must also begin by  "  or  //  or  /*
-//											
-// This example gives the genotypes at 6 microsatellite loci for 228 individuals
-// that were genotyped in 6 populations.
-// Populations are identified by the categorical group. 
-// There is no spatial coordinate but inter-population distances are given in a matrix at the end of the file.
-// For this data set, SPAGeDi permits to assess :														
-//  - differentiation among populations using allele identity or allele size information
-//  - isolation by distance among populations
-//
-// 1st non comment line : set of 6 numbers separated by a tabulation and representing :													
-//                       #individuals	#categories	#coordinates	#loci	#digits/allele	max ploidy									
-// 2nd non comment line : # of distance intervals followed by the upper distance of each interval.
-//                        Here a negative # of intervals is given so that upper distances are choosen to obtain
-//                        intervals with the same # of pairwise comparisons.									
-// 3rd non comment line : column labels (<=15 characters).														
-// 4th and next lines : data for each individual in the following order: Ind name, category, coordinates (here 0), genotypes										
-228	6	0	6	3	2			
--3						
-ind	pop	Loc1	Loc2	Loc3	Loc4	Loc5	Loc6
-pop1-1	pop1	160150	163163	178176	102102	147139	118114
-pop1-2	pop1	152152	163163	176176	102102	147139	116116
-pop1-3	pop1	166158	161153	176174	102102	149137	116116
-pop1-4	pop1	158158	163163	174168	102098	147147	116112
-pop1-5	pop1	168164	163153	176166	102102	149141	116112
-pop1-6	pop1	158158	163153	178176	102098	147147	116114
-pop1-7	pop1	158158	163163	176176	102102	149139	116114
-pop1-8	pop1	158152	163163	176174	102102	149137	116112
-pop1-9	pop1	150150	163163	176174	102098	149141	116116
-pop1-10	pop1	158150	163153	176174	102098	147141	116116
-pop1-11	pop1	166158	163153	176166	102098	147141	116116
-pop1-12	pop1	164158	163153	176176	102100	147141	116112
-pop1-13	pop1	158152	163163	176168	102102	141141	116116
-pop1-14	pop1	160150	163163	176168	102100	147137	116116
-pop1-15	pop1	160158	163163	176166	102098	141141	116114
-pop1-16	pop1	158158	163163	176168	102098	149149	114112
-pop1-17	pop1	156150	163163	174168	102102	137135	112112
-pop1-18	pop1	162152	163163	178168	102102	141137	116112
-pop1-19	pop1	158150	163163	176176	102102	139139	116112
-pop1-20	pop1	160158	163163	178176	102098	147137	112112
-pop1-21	pop1	152152	163163	176166	102098	141139	114112
-pop1-22	pop1	150150	163163	176168	102098	151139	112112
-pop1-23	pop1	148148	163163	176174	102098	139139	116112
-pop1-24	pop1	150148	163163	176174	102102	139137	112112
-pop1-25	pop1	166158	153153	174166	102098	139137	114112
-pop1-26	pop1	160160	163163	176166	102100	139139	116112
-pop1-27	pop1	166156	163163	176176	102098	141139	116114
-pop1-28	pop1	158156	163163	176176	102102	141137	112112
-pop1-29	pop1	166158	163163	176166	102098	141139	116116
-pop1-30	pop1	158152	163163	178166	100098	147137	116116
-pop1-31	pop1	162152	163163	176168	102098	147139	116116
-pop1-32	pop1	158152	163163	178168	102098	147137	116116
-pop1-33	pop1	152150	163163	174166	98098	141139	114114
-pop1-34	pop1	162152	163163	178176	102102	147139	114112
-pop1-35	pop1	152150	163163	174166	98098	147141	116112
-pop1-36	pop1	158152	163163	178168	102098	149147	112112
-pop1-37	pop1	152150	163163	168166	102100	141139	114112
-pop1-38	pop1	152152	163163	178168	102100	147139	114112
-pop2-1	pop2	164158	163163	176168	102098	147143	112112
-pop2-2	pop2	166150	163163	178174	102100	147139	116112
-pop2-3	pop2	166150	163163	178176	102100	147139	116112
-pop2-4	pop2	158150	163163	176168	102100	147143	112112
-pop2-5	pop2	166166	163163	176176	102098	139137	112112
-pop2-6	pop2	164150	163163	176166	102102	139139	116112
-pop2-7	pop2	158150	163163	174166	102102	147147	112112
-pop2-8	pop2	158150	163163	176166	98098	147139	112112
-pop2-9	pop2	166164	163163	176168	102102	149147	112112
-pop2-10	pop2	158152	163163	174166	102102	147147	116112
-pop2-11	pop2	152150	163163	168166	102098	141139	112112
-pop2-12	pop2	166164	163163	174168	102100	143139	112112
-pop2-13	pop2	164150	163163	178166	102098	147139	116116
-pop2-14	pop2	158150	163163	176166	102102	147139	116116
-pop2-15	pop2	152152	163163	176176	102098	149139	116112
-pop2-16	pop2	152150	163163	166166	102100	147139	116112
-pop2-17	pop2	0	163163	174174	102100	147147	116112
-pop2-18	pop2	156152	163163	166166	102100	147141	112112
-pop2-19	pop2	158152	163163	174174	100098	147139	116112
-pop2-20	pop2	164158	163163	176174	102102	147147	116112
-pop2-21	pop2	158158	163153	178166	102100	147139	116116
-pop2-22	pop2	158150	163163	178174	102102	149137	116112
-pop2-23	pop2	166158	163163	174168	100100	147139	112112
-pop2-24	pop2	152150	163163	176168	102098	147147	116112
-pop2-25	pop2	162152	163163	168166	102102	149137	112112
-pop2-26	pop2	152152	163163	178176	102098	147143	116112
-pop2-27	pop2	152152	163163	176166	100100	149139	116112
-pop2-28	pop2	158150	163163	168168	102100	147137	112112
-pop2-29	pop2	166152	163163	168166	102100	149147	116116
-pop2-30	pop2	162152	163163	178168	102102	139139	118112
-pop2-31	pop2	166158	163153	168168	102102	151139	116112
-pop2-32	pop2	158152	163153	178166	102102	139137	116112
-pop2-33	pop2	158150	163153	174174	102102	149139	116116
-pop2-34	pop2	0	163163	178176	100098	139139	116116
-pop2-35	pop2	158158	163163	176166	102100	147147	116116
-pop2-36	pop2	158152	163163	178166	102102	139139	116112
-pop2-37	pop2	162150	163163	176168	102102	147139	112112
-pop2-38	pop2	162158	163163	176166	102102	147147	116112
-pop2-39	pop2	162150	163163	166166	102102	149139	116112
-pop2-40	pop2	162152	163163	166166	102102	147139	112112
-pop2-41	pop2	152150	163163	176168	102098	147139	116116
-pop2-42	pop2	166152	163163	178176	102102	143143	116112
-pop2-43	pop2	166162	163163	166166	98098	147139	116116
-pop2-44	pop2	162152	163163	178178	102098	147147	116116
-pop2-45	pop2	152152	163163	178178	98098	147143	116116
-pop2-46	pop2	152150	163163	178166	102102	147139	116112
-pop2-47	pop2	0	163163	176168	102100	147147	116116
-pop2-48	pop2	162152	163163	176166	102102	147139	116116
-pop2-49	pop2	162150	163163	178168	102100	147141	116116
-pop2-50	pop2	166150	163163	178166	102102	147139	116116
-pop3-1	pop3	160158	163163	174168	102102	145139	114100
-pop3-2	pop3	164160	163163	168168	102102	141139	114114
-pop3-3	pop3	166158	163163	168168	102102	141139	114114
-pop3-4	pop3	162148	163163	174168	102102	139139	122120
-pop3-5	pop3	162158	163163	168168	102100	149141	116100
-pop3-6	pop3	164158	163163	168168	102102	141141	120114
-pop3-7	pop3	162158	163163	168168	102100	149139	120114
-pop3-8	pop3	164162	163163	174168	102102	141139	118100
-pop3-9	pop3	164158	163163	174168	102100	141141	118100
-pop3-10	pop3	160160	163163	168168	102102	147147	120000
-pop3-11	pop3	170160	163163	168168	102100	141139	118118
-pop3-12	pop3	160160	163163	174168	102102	141139	118116
-pop3-13	pop3	162158	163153	174168	102100	141139	120100
-pop3-14	pop3	160158	163163	168168	102100	145139	118118
-pop3-15	pop3	166160	163163	174168	102102	141141	120100
-pop3-16	pop3	162160	163163	168168	102102	147141	120100
-pop3-17	pop3	164160	163163	168168	102102	149139	120116
-pop3-18	pop3	160146	163163	168168	102102	145141	116100
-pop3-19	pop3	160160	163163	168168	102098	147141	114114
-pop3-20	pop3	160158	163163	174168	102102	147141	120100
-pop3-21	pop3	166160	163163	174168	102102	147145	118114
-pop3-22	pop3	160152	163153	168168	102102	147147	120100
-pop3-23	pop3	164162	163163	174168	102102	149141	120118
-pop3-24	pop3	160160	163163	174168	102102	149145	114100
-pop3-25	pop3	160160	163163	168168	102102	147147	120114
-pop3-26	pop3	160160	163163	168168	102102	149135	120100
-pop3-27	pop3	160160	163163	168168	102102	149139	116100
-pop3-28	pop3	160160	163163	174168	102102	147139	114100
-pop3-29	pop3	160160	163163	168168	102102	147145	118100
-pop3-30	pop3	160160	163153	174168	102102	149147	120100
-pop3-31	pop3	160160	163163	174168	102102	141139	120120
-pop3-32	pop3	160146	163163	168168	102102	139139	120120
-pop3-33	pop3	162146	163163	168168	102100	141139	120120
-pop3-34	pop3	166160	163163	168168	102102	141139	120114
-pop3-35	pop3	166160	163163	168168	102100	141141	120100
-pop3-36	pop3	166160	163163	168168	102102	149141	120100
-pop3-37	pop3	160160	163163	168168	102102	149141	120118
-pop3-38	pop3	166146	163153	168168	102102	141135	118100
-pop3-39	pop3	166160	163163	168168	102098	149143	100100
-pop3-40	pop3	166166	163163	168168	102098	143143	118100
-pop3-41	pop3	166160	163163	168168	102102	141139	118100
-pop4-1	pop4	156148	163163	174174	102102	135135	118118
-pop4-2	pop4	166156	163163	168166	102100	147139	122120
-pop4-3	pop4	166156	163163	174168	102102	139135	122118
-pop4-4	pop4	166148	163163	174168	102102	135135	120120
-pop4-5	pop4	166166	163163	174174	102100	147135	120120
-pop4-6	pop4	166166	163163	174174	102100	135135	120116
-pop4-7	pop4	166156	163163	174174	102100	135135	122122
-pop4-8	pop4	166156	163163	174168	102102	147139	122118
-pop4-9	pop4	166166	163163	174174	100100	139135	122120
-pop4-10	pop4	166166	163163	168168	102100	139135	122120
-pop4-11	pop4	162156	163163	174174	102100	139139	122122
-pop4-12	pop4	166156	163163	168168	102100	139135	118116
-pop4-13	pop4	156156	163163	168166	100100	147135	122118
-pop4-14	pop4	166156	163163	174168	102100	139135	118118
-pop4-15	pop4	156148	163163	174174	102102	139135	118118
-pop4-16	pop4	156156	163163	174174	102102	139139	118118
-pop4-17	pop4	156156	163163	174166	102100	139135	122118
-pop4-18	pop4	166166	163163	174168	102100	139135	122122
-pop4-19	pop4	166166	163163	174168	100100	135135	122122
-pop4-20	pop4	166156	163163	174168	102102	147135	122118
-pop4-21	pop4	166156	163163	174168	100100	139135	122120
-pop4-22	pop4	166156	163163	174174	102100	139139	120118
-pop4-23	pop4	166166	163163	174174	102100	147139	122116
-pop4-24	pop4	166166	163163	174166	102100	139135	122122
-pop4-25	pop4	154154	163163	174174	102102	139139	122116
-pop4-26	pop4	154154	163163	174174	102102	139139	122116
-pop4-27	pop4	166156	163163	174174	102102	139135	122118
-pop4-28	pop4	166166	163163	174168	102100	139135	122122
-pop4-29	pop4	166166	163163	174168	102100	135135	120118
-pop4-30	pop4	156154	163163	174174	102102	139139	122116
-pop4-31	pop4	156156	163163	174174	102100	139135	122122
-pop4-32	pop4	166156	163163	174174	102102	139139	122122
-pop4-33	pop4	174148	163163	174174	102100	135135	122122
-pop4-34	pop4	156156	163163	174166	102100	139139	118116
-pop4-35	pop4	166156	163163	174168	102102	135135	122122
-pop4-36	pop4	0	163163	174168	102100	139135	122116
-pop4-37	pop4	166156	163163	174168	100100	135135	118116
-pop4-38	pop4	166158	163163	174174	100100	135135	122118
-pop4-39	pop4	166156	163163	174174	102102	147139	122122
-pop4-40	pop4	166162	163163	174168	102100	135135	122116
-pop5-1	pop5	166158	163163	166166	102102	139137	116116
-pop5-2	pop5	158158	163163	178166	102102	153137	118118
-pop5-3	pop5	166158	163163	166166	102102	143143	118116
-pop5-4	pop5	152152	163163	166166	102102	153139	116112
-pop5-5	pop5	166158	163163	166166	102102	153137	118116
-pop5-6	pop5	158152	163163	166166	102102	139139	118118
-pop5-7	pop5	158152	163163	166166	102102	139139	118118
-pop5-8	pop5	166158	163163	168166	102102	153143	116116
-pop5-9	pop5	166152	163163	166166	102102	139139	118118
-pop5-10	pop5	166166	163163	166166	102102	143141	118116
-pop5-11	pop5	166152	163163	168166	102102	143139	118116
-pop5-12	pop5	152152	163163	176166	102102	139139	116116
-pop5-13	pop5	158152	163163	166166	102102	139139	116116
-pop5-14	pop5	158152	163163	166166	102102	143139	116116
-pop5-15	pop5	166152	163163	166166	102102	139139	118116
-pop5-16	pop5	166158	163163	168166	102102	139139	116116
-pop5-17	pop5	166152	163163	178166	102102	139139	118116
-pop5-18	pop5	166166	163163	168166	102102	139137	118116
-pop5-19	pop5	166148	163163	166166	102102	139139	118116
-pop5-20	pop5	0	163163	166166	102102	143139	118116
-pop5-21	pop5	152148	163163	166166	102102	143137	118116
-pop5-22	pop5	158152	163163	166166	102102	139137	118118
-pop5-23	pop5	166158	163163	166166	102102	139139	118116
-pop5-24	pop5	166152	163163	168166	102102	139139	116116
-pop5-25	pop5	152152	163163	166166	102102	139139	116116
-pop5-26	pop5	158158	163163	166166	102102	143139	118116
-pop5-27	pop5	158148	163163	178166	102102	139139	118116
-pop5-28	pop5	166158	163163	166166	102102	139139	118116
-pop5-29	pop5	166158	163163	166166	102102	139139	116116
-pop5-30	pop5	166158	163163	178166	102102	143139	116116
-pop5-31	pop5	162152	163163	166166	102102	143139	118116
-pop5-32	pop5	166158	163163	174166	102102	143139	118118
-pop5-33	pop5	158152	163163	166166	102102	143139	118116
-pop5-34	pop5	158158	163163	166166	102102	143139	118118
-pop5-35	pop5	158152	163163	178166	102102	143139	118116
-pop5-36	pop5	166158	163163	168166	102102	143143	118118
-pop5-37	pop5	158152	163163	166166	102098	143139	116116
-pop5-38	pop5	166158	163163	168166	102098	139139	116116
-pop5-39	pop5	0	163163	168166	102102	143139	116116
-pop6-1	pop6	150146	163153	174168	102102	141131	118118
-pop6-2	pop6	172146	163163	174174	102102	141141	122118
-pop6-3	pop6	150150	163153	174168	102100	141131	122100
-pop6-4	pop6	150150	163163	168168	102102	147141	122118
-pop6-5	pop6	150150	163163	174168	102102	145141	122118
-pop6-6	pop6	146146	163163	174168	102100	145141	122118
-pop6-7	pop6	146146	163163	174168	102102	145141	118100
-pop6-8	pop6	150146	163163	174168	102102	145141	118118
-pop6-9	pop6	150146	163163	168168	102100	141141	122118
-pop6-10	pop6	150146	163163	174174	102102	141141	122118
-pop6-11	pop6	150146	163163	174168	102100	145145	118118
-pop6-12	pop6	146146	163163	174168	102102	145141	118118
-pop6-13	pop6	146146	153153	168168	102102	131129	118118
-pop6-14	pop6	150150	163153	174174	102102	141131	122122
-pop6-15	pop6	146146	163153	174168	102102	145131	122100
-pop6-16	pop6	150150	163153	174174	102100	145131	122118
-pop6-17	pop6	0	163153	174174	102100	145131	122122
-pop6-18	pop6	150146	163153	174168	102102	145131	122100
-pop6-19	pop6	172146	163163	168168	102102	141141	118118
-pop6-20	pop6	150146	163153	174168	102102	141131	118118
-END	
-// the word END is compulsory at the end of the list of individuals data		
-//
-// The next matrix gives inter-population distances
-// On the first line, M indicates that its a matrix and 6 that it contains 6 elements.
-// Names for rows and columns must be the same as those given above (category names in this case).			
-M6	pop1	pop2	pop3	pop4	pop5	pop6	
-pop1							
-pop2	0.3						
-pop3	1.5	1.2					
-pop4	1.8	1.8	1.3				
-pop5	0.6	0.5	1.7	2.3			
-pop6	1.5	1.3	0.7	0.7	1.9		
-END
+// This is an example of data file for the software SPAGeDi, written by O. Hardy and X. Vekemans
+//											
+// Any line begining by   "   or  //  or  /*   is a comment line, not read by the program. They can be put anywhere.
+// Empty lines must also begin by  "  or  //  or  /*
+//											
+// This example gives the genotypes at 6 microsatellite loci for 228 individuals
+// that were genotyped in 6 populations.
+// Populations are identified by the categorical group. 
+// There is no spatial coordinate but inter-population distances are given in a matrix at the end of the file.
+// For this data set, SPAGeDi permits to assess :														
+//  - differentiation among populations using allele identity or allele size information
+//  - isolation by distance among populations
+//
+// 1st non comment line : set of 6 numbers separated by a tabulation and representing :													
+//                       #individuals	#categories	#coordinates	#loci	#digits/allele	max ploidy									
+// 2nd non comment line : # of distance intervals followed by the upper distance of each interval.
+//                        Here a negative # of intervals is given so that upper distances are choosen to obtain
+//                        intervals with the same # of pairwise comparisons.									
+// 3rd non comment line : column labels (<=15 characters).														
+// 4th and next lines : data for each individual in the following order: Ind name, category, coordinates (here 0), genotypes										
+228	6	0	6	3	2			
+-3						
+ind	pop	Loc1	Loc2	Loc3	Loc4	Loc5	Loc6
+pop1-1	pop1	160150	163163	178176	102102	147139	118114
+pop1-2	pop1	152152	163163	176176	102102	147139	116116
+pop1-3	pop1	166158	161153	176174	102102	149137	116116
+pop1-4	pop1	158158	163163	174168	102098	147147	116112
+pop1-5	pop1	168164	163153	176166	102102	149141	116112
+pop1-6	pop1	158158	163153	178176	102098	147147	116114
+pop1-7	pop1	158158	163163	176176	102102	149139	116114
+pop1-8	pop1	158152	163163	176174	102102	149137	116112
+pop1-9	pop1	150150	163163	176174	102098	149141	116116
+pop1-10	pop1	158150	163153	176174	102098	147141	116116
+pop1-11	pop1	166158	163153	176166	102098	147141	116116
+pop1-12	pop1	164158	163153	176176	102100	147141	116112
+pop1-13	pop1	158152	163163	176168	102102	141141	116116
+pop1-14	pop1	160150	163163	176168	102100	147137	116116
+pop1-15	pop1	160158	163163	176166	102098	141141	116114
+pop1-16	pop1	158158	163163	176168	102098	149149	114112
+pop1-17	pop1	156150	163163	174168	102102	137135	112112
+pop1-18	pop1	162152	163163	178168	102102	141137	116112
+pop1-19	pop1	158150	163163	176176	102102	139139	116112
+pop1-20	pop1	160158	163163	178176	102098	147137	112112
+pop1-21	pop1	152152	163163	176166	102098	141139	114112
+pop1-22	pop1	150150	163163	176168	102098	151139	112112
+pop1-23	pop1	148148	163163	176174	102098	139139	116112
+pop1-24	pop1	150148	163163	176174	102102	139137	112112
+pop1-25	pop1	166158	153153	174166	102098	139137	114112
+pop1-26	pop1	160160	163163	176166	102100	139139	116112
+pop1-27	pop1	166156	163163	176176	102098	141139	116114
+pop1-28	pop1	158156	163163	176176	102102	141137	112112
+pop1-29	pop1	166158	163163	176166	102098	141139	116116
+pop1-30	pop1	158152	163163	178166	100098	147137	116116
+pop1-31	pop1	162152	163163	176168	102098	147139	116116
+pop1-32	pop1	158152	163163	178168	102098	147137	116116
+pop1-33	pop1	152150	163163	174166	98098	141139	114114
+pop1-34	pop1	162152	163163	178176	102102	147139	114112
+pop1-35	pop1	152150	163163	174166	98098	147141	116112
+pop1-36	pop1	158152	163163	178168	102098	149147	112112
+pop1-37	pop1	152150	163163	168166	102100	141139	114112
+pop1-38	pop1	152152	163163	178168	102100	147139	114112
+pop2-1	pop2	164158	163163	176168	102098	147143	112112
+pop2-2	pop2	166150	163163	178174	102100	147139	116112
+pop2-3	pop2	166150	163163	178176	102100	147139	116112
+pop2-4	pop2	158150	163163	176168	102100	147143	112112
+pop2-5	pop2	166166	163163	176176	102098	139137	112112
+pop2-6	pop2	164150	163163	176166	102102	139139	116112
+pop2-7	pop2	158150	163163	174166	102102	147147	112112
+pop2-8	pop2	158150	163163	176166	98098	147139	112112
+pop2-9	pop2	166164	163163	176168	102102	149147	112112
+pop2-10	pop2	158152	163163	174166	102102	147147	116112
+pop2-11	pop2	152150	163163	168166	102098	141139	112112
+pop2-12	pop2	166164	163163	174168	102100	143139	112112
+pop2-13	pop2	164150	163163	178166	102098	147139	116116
+pop2-14	pop2	158150	163163	176166	102102	147139	116116
+pop2-15	pop2	152152	163163	176176	102098	149139	116112
+pop2-16	pop2	152150	163163	166166	102100	147139	116112
+pop2-17	pop2	0	163163	174174	102100	147147	116112
+pop2-18	pop2	156152	163163	166166	102100	147141	112112
+pop2-19	pop2	158152	163163	174174	100098	147139	116112
+pop2-20	pop2	164158	163163	176174	102102	147147	116112
+pop2-21	pop2	158158	163153	178166	102100	147139	116116
+pop2-22	pop2	158150	163163	178174	102102	149137	116112
+pop2-23	pop2	166158	163163	174168	100100	147139	112112
+pop2-24	pop2	152150	163163	176168	102098	147147	116112
+pop2-25	pop2	162152	163163	168166	102102	149137	112112
+pop2-26	pop2	152152	163163	178176	102098	147143	116112
+pop2-27	pop2	152152	163163	176166	100100	149139	116112
+pop2-28	pop2	158150	163163	168168	102100	147137	112112
+pop2-29	pop2	166152	163163	168166	102100	149147	116116
+pop2-30	pop2	162152	163163	178168	102102	139139	118112
+pop2-31	pop2	166158	163153	168168	102102	151139	116112
+pop2-32	pop2	158152	163153	178166	102102	139137	116112
+pop2-33	pop2	158150	163153	174174	102102	149139	116116
+pop2-34	pop2	0	163163	178176	100098	139139	116116
+pop2-35	pop2	158158	163163	176166	102100	147147	116116
+pop2-36	pop2	158152	163163	178166	102102	139139	116112
+pop2-37	pop2	162150	163163	176168	102102	147139	112112
+pop2-38	pop2	162158	163163	176166	102102	147147	116112
+pop2-39	pop2	162150	163163	166166	102102	149139	116112
+pop2-40	pop2	162152	163163	166166	102102	147139	112112
+pop2-41	pop2	152150	163163	176168	102098	147139	116116
+pop2-42	pop2	166152	163163	178176	102102	143143	116112
+pop2-43	pop2	166162	163163	166166	98098	147139	116116
+pop2-44	pop2	162152	163163	178178	102098	147147	116116
+pop2-45	pop2	152152	163163	178178	98098	147143	116116
+pop2-46	pop2	152150	163163	178166	102102	147139	116112
+pop2-47	pop2	0	163163	176168	102100	147147	116116
+pop2-48	pop2	162152	163163	176166	102102	147139	116116
+pop2-49	pop2	162150	163163	178168	102100	147141	116116
+pop2-50	pop2	166150	163163	178166	102102	147139	116116
+pop3-1	pop3	160158	163163	174168	102102	145139	114100
+pop3-2	pop3	164160	163163	168168	102102	141139	114114
+pop3-3	pop3	166158	163163	168168	102102	141139	114114
+pop3-4	pop3	162148	163163	174168	102102	139139	122120
+pop3-5	pop3	162158	163163	168168	102100	149141	116100
+pop3-6	pop3	164158	163163	168168	102102	141141	120114
+pop3-7	pop3	162158	163163	168168	102100	149139	120114
+pop3-8	pop3	164162	163163	174168	102102	141139	118100
+pop3-9	pop3	164158	163163	174168	102100	141141	118100
+pop3-10	pop3	160160	163163	168168	102102	147147	120000
+pop3-11	pop3	170160	163163	168168	102100	141139	118118
+pop3-12	pop3	160160	163163	174168	102102	141139	118116
+pop3-13	pop3	162158	163153	174168	102100	141139	120100
+pop3-14	pop3	160158	163163	168168	102100	145139	118118
+pop3-15	pop3	166160	163163	174168	102102	141141	120100
+pop3-16	pop3	162160	163163	168168	102102	147141	120100
+pop3-17	pop3	164160	163163	168168	102102	149139	120116
+pop3-18	pop3	160146	163163	168168	102102	145141	116100
+pop3-19	pop3	160160	163163	168168	102098	147141	114114
+pop3-20	pop3	160158	163163	174168	102102	147141	120100
+pop3-21	pop3	166160	163163	174168	102102	147145	118114
+pop3-22	pop3	160152	163153	168168	102102	147147	120100
+pop3-23	pop3	164162	163163	174168	102102	149141	120118
+pop3-24	pop3	160160	163163	174168	102102	149145	114100
+pop3-25	pop3	160160	163163	168168	102102	147147	120114
+pop3-26	pop3	160160	163163	168168	102102	149135	120100
+pop3-27	pop3	160160	163163	168168	102102	149139	116100
+pop3-28	pop3	160160	163163	174168	102102	147139	114100
+pop3-29	pop3	160160	163163	168168	102102	147145	118100
+pop3-30	pop3	160160	163153	174168	102102	149147	120100
+pop3-31	pop3	160160	163163	174168	102102	141139	120120
+pop3-32	pop3	160146	163163	168168	102102	139139	120120
+pop3-33	pop3	162146	163163	168168	102100	141139	120120
+pop3-34	pop3	166160	163163	168168	102102	141139	120114
+pop3-35	pop3	166160	163163	168168	102100	141141	120100
+pop3-36	pop3	166160	163163	168168	102102	149141	120100
+pop3-37	pop3	160160	163163	168168	102102	149141	120118
+pop3-38	pop3	166146	163153	168168	102102	141135	118100
+pop3-39	pop3	166160	163163	168168	102098	149143	100100
+pop3-40	pop3	166166	163163	168168	102098	143143	118100
+pop3-41	pop3	166160	163163	168168	102102	141139	118100
+pop4-1	pop4	156148	163163	174174	102102	135135	118118
+pop4-2	pop4	166156	163163	168166	102100	147139	122120
+pop4-3	pop4	166156	163163	174168	102102	139135	122118
+pop4-4	pop4	166148	163163	174168	102102	135135	120120
+pop4-5	pop4	166166	163163	174174	102100	147135	120120
+pop4-6	pop4	166166	163163	174174	102100	135135	120116
+pop4-7	pop4	166156	163163	174174	102100	135135	122122
+pop4-8	pop4	166156	163163	174168	102102	147139	122118
+pop4-9	pop4	166166	163163	174174	100100	139135	122120
+pop4-10	pop4	166166	163163	168168	102100	139135	122120
+pop4-11	pop4	162156	163163	174174	102100	139139	122122
+pop4-12	pop4	166156	163163	168168	102100	139135	118116
+pop4-13	pop4	156156	163163	168166	100100	147135	122118
+pop4-14	pop4	166156	163163	174168	102100	139135	118118
+pop4-15	pop4	156148	163163	174174	102102	139135	118118
+pop4-16	pop4	156156	163163	174174	102102	139139	118118
+pop4-17	pop4	156156	163163	174166	102100	139135	122118
+pop4-18	pop4	166166	163163	174168	102100	139135	122122
+pop4-19	pop4	166166	163163	174168	100100	135135	122122
+pop4-20	pop4	166156	163163	174168	102102	147135	122118
+pop4-21	pop4	166156	163163	174168	100100	139135	122120
+pop4-22	pop4	166156	163163	174174	102100	139139	120118
+pop4-23	pop4	166166	163163	174174	102100	147139	122116
+pop4-24	pop4	166166	163163	174166	102100	139135	122122
+pop4-25	pop4	154154	163163	174174	102102	139139	122116
+pop4-26	pop4	154154	163163	174174	102102	139139	122116
+pop4-27	pop4	166156	163163	174174	102102	139135	122118
+pop4-28	pop4	166166	163163	174168	102100	139135	122122
+pop4-29	pop4	166166	163163	174168	102100	135135	120118
+pop4-30	pop4	156154	163163	174174	102102	139139	122116
+pop4-31	pop4	156156	163163	174174	102100	139135	122122
+pop4-32	pop4	166156	163163	174174	102102	139139	122122
+pop4-33	pop4	174148	163163	174174	102100	135135	122122
+pop4-34	pop4	156156	163163	174166	102100	139139	118116
+pop4-35	pop4	166156	163163	174168	102102	135135	122122
+pop4-36	pop4	0	163163	174168	102100	139135	122116
+pop4-37	pop4	166156	163163	174168	100100	135135	118116
+pop4-38	pop4	166158	163163	174174	100100	135135	122118
+pop4-39	pop4	166156	163163	174174	102102	147139	122122
+pop4-40	pop4	166162	163163	174168	102100	135135	122116
+pop5-1	pop5	166158	163163	166166	102102	139137	116116
+pop5-2	pop5	158158	163163	178166	102102	153137	118118
+pop5-3	pop5	166158	163163	166166	102102	143143	118116
+pop5-4	pop5	152152	163163	166166	102102	153139	116112
+pop5-5	pop5	166158	163163	166166	102102	153137	118116
+pop5-6	pop5	158152	163163	166166	102102	139139	118118
+pop5-7	pop5	158152	163163	166166	102102	139139	118118
+pop5-8	pop5	166158	163163	168166	102102	153143	116116
+pop5-9	pop5	166152	163163	166166	102102	139139	118118
+pop5-10	pop5	166166	163163	166166	102102	143141	118116
+pop5-11	pop5	166152	163163	168166	102102	143139	118116
+pop5-12	pop5	152152	163163	176166	102102	139139	116116
+pop5-13	pop5	158152	163163	166166	102102	139139	116116
+pop5-14	pop5	158152	163163	166166	102102	143139	116116
+pop5-15	pop5	166152	163163	166166	102102	139139	118116
+pop5-16	pop5	166158	163163	168166	102102	139139	116116
+pop5-17	pop5	166152	163163	178166	102102	139139	118116
+pop5-18	pop5	166166	163163	168166	102102	139137	118116
+pop5-19	pop5	166148	163163	166166	102102	139139	118116
+pop5-20	pop5	0	163163	166166	102102	143139	118116
+pop5-21	pop5	152148	163163	166166	102102	143137	118116
+pop5-22	pop5	158152	163163	166166	102102	139137	118118
+pop5-23	pop5	166158	163163	166166	102102	139139	118116
+pop5-24	pop5	166152	163163	168166	102102	139139	116116
+pop5-25	pop5	152152	163163	166166	102102	139139	116116
+pop5-26	pop5	158158	163163	166166	102102	143139	118116
+pop5-27	pop5	158148	163163	178166	102102	139139	118116
+pop5-28	pop5	166158	163163	166166	102102	139139	118116
+pop5-29	pop5	166158	163163	166166	102102	139139	116116
+pop5-30	pop5	166158	163163	178166	102102	143139	116116
+pop5-31	pop5	162152	163163	166166	102102	143139	118116
+pop5-32	pop5	166158	163163	174166	102102	143139	118118
+pop5-33	pop5	158152	163163	166166	102102	143139	118116
+pop5-34	pop5	158158	163163	166166	102102	143139	118118
+pop5-35	pop5	158152	163163	178166	102102	143139	118116
+pop5-36	pop5	166158	163163	168166	102102	143143	118118
+pop5-37	pop5	158152	163163	166166	102098	143139	116116
+pop5-38	pop5	166158	163163	168166	102098	139139	116116
+pop5-39	pop5	0	163163	168166	102102	143139	116116
+pop6-1	pop6	150146	163153	174168	102102	141131	118118
+pop6-2	pop6	172146	163163	174174	102102	141141	122118
+pop6-3	pop6	150150	163153	174168	102100	141131	122100
+pop6-4	pop6	150150	163163	168168	102102	147141	122118
+pop6-5	pop6	150150	163163	174168	102102	145141	122118
+pop6-6	pop6	146146	163163	174168	102100	145141	122118
+pop6-7	pop6	146146	163163	174168	102102	145141	118100
+pop6-8	pop6	150146	163163	174168	102102	145141	118118
+pop6-9	pop6	150146	163163	168168	102100	141141	122118
+pop6-10	pop6	150146	163163	174174	102102	141141	122118
+pop6-11	pop6	150146	163163	174168	102100	145145	118118
+pop6-12	pop6	146146	163163	174168	102102	145141	118118
+pop6-13	pop6	146146	153153	168168	102102	131129	118118
+pop6-14	pop6	150150	163153	174174	102102	141131	122122
+pop6-15	pop6	146146	163153	174168	102102	145131	122100
+pop6-16	pop6	150150	163153	174174	102100	145131	122118
+pop6-17	pop6	0	163153	174174	102100	145131	122122
+pop6-18	pop6	150146	163153	174168	102102	145131	122100
+pop6-19	pop6	172146	163163	168168	102102	141141	118118
+pop6-20	pop6	150146	163153	174168	102102	141131	118118
+END	
+// The next matrix gives inter-population distances
+// On the first line, M indicates that its a matrix and 6 that it contains 6 elements.
+// Names for rows and columns must be the same as those given above (category names in this case).			
+M6	pop1	pop2	pop3	pop4	pop5	pop6	
+pop1							
+pop2	0.3						
+pop3	1.5	1.2					
+pop4	1.8	1.8	1.3				
+pop5	0.6	0.5	1.7	2.3			
+pop6	1.5	1.3	0.7	0.7	1.9		
+END
diff --git a/manual.pdf b/manual.pdf
index 803959c..be28e0c 100644
Binary files a/manual.pdf and b/manual.pdf differ
diff --git a/postflight.sh.in b/postflight.sh.in
deleted file mode 100644
index f82d8fa..0000000
--- a/postflight.sh.in
+++ /dev/null
@@ -1,9 +0,0 @@
-#!/bin/bash
-app1="$2/@SPAGEDI_BUNDLE_NAME@.app/Contents/MacOS/@SPAGEDI_BUNDLE_NAME@"
-app2="$2/@SPAGEDI_BUNDLE_NAME@/bin/spagedi"
-if [ -x "$app1" ]; then
-  ln -s  "$app1" /usr/bin/spagedi
-elif [ -x "$app2" ]; then
-  ln -s "$app2" /usr/bin/spagedi
-fi
-exit 0
diff --git a/src/Autoccomp.c b/src/Autoccomp.c
index 44e019d..2bd619c 100644
--- a/src/Autoccomp.c
+++ b/src/Autoccomp.c
@@ -43,6 +43,7 @@ void define_groups(int n,struct name namei[],double *xi,double *yi,double *zi,
  		nsg=1;
 		Nig[1]=1;
 		strncpy(namesg[1].n,namei[1].n,MAXNOM-1);
+		namesg[1].n[MAXNOM-1] = '\0';
 		for(i=2;i<=n;i++){
 			if(xi[i]!=xi[i-1] || yi[i]!=yi[i-1] || zi[i]!=zi[i-1]){
 				nsg++;
@@ -50,6 +51,7 @@ void define_groups(int n,struct name namei[],double *xi,double *yi,double *zi,
 				Nig[nsg]=1;
 				sprintf(smess,namei[i].n,nsg);
 				strncpy(namesg[nsg].n,smess,MAXNOM-1);
+				namesg[nsg].n[MAXNOM-1] = '\0';
 			}
 			else{
 				sgi[i]=nsg;
@@ -67,11 +69,13 @@ void define_groups(int n,struct name namei[],double *xi,double *yi,double *zi,
 		newgroup[sgi[1]]=1;
 		nsg=1;
 		strncpy(namesg[1].n,namei[1].n,MAXNOM-1);
+		namesg[1].n[MAXNOM-1] = '\0';
 		for(i=2;i<=n;i++){
 			if(newgroup[sgi[i]]==0){
 				nsg++;
 				newgroup[sgi[i]]=nsg;
 				strncpy(namesg[nsg].n,namei[i].n,MAXNOM-1);
+				namesg[nsg].n[MAXNOM-1] = '\0';
 			}
 		}
 		*Nsg=nsg;
@@ -93,6 +97,7 @@ void define_groups(int n,struct name namei[],double *xi,double *yi,double *zi,
 		ncatobs=1;
 		cati[1]=1;
 		strncpy(namecat[1].n,namecati[1].n,MAXNOM-1);
+		namecat[1].n[MAXNOM-1] = '\0';
 		for(i=2;i<=n;i++){
 			newcat=1;
 			for(k=1;k<=ncatobs;k++){
@@ -101,6 +106,7 @@ void define_groups(int n,struct name namei[],double *xi,double *yi,double *zi,
 			if(newcat){
 				ncatobs++;
 				strncpy(namecat[ncatobs].n,namecati[i].n,MAXNOM-1);
+				namecat[ncatobs].n[MAXNOM-1] = '\0';
 				cati[i]=ncatobs;
 			}
 		}
@@ -134,6 +140,7 @@ void define_groups(int n,struct name namei[],double *xi,double *yi,double *zi,
 		catskg[1]=cati[1];
 		sprintf(smess,"%s-%s",namesg[1].n,namecat[1].n);
 		strncpy(nameskg[1].n,smess,MAXNOM-1);
+		nameskg[1].n[MAXNOM-1] = '\0';
 
 		for(i=2;i<=n;i++){
 			skgi[i]=0;
@@ -154,6 +161,7 @@ void define_groups(int n,struct name namei[],double *xi,double *yi,double *zi,
 				Niskg[nskg]=1;
 				sprintf(smess,"%s-%s",namesg[sgi[i]].n,namecat[cati[i]].n);
 				strncpy(nameskg[nskg].n,smess,MAXNOM-1);
+				nameskg[nskg].n[MAXNOM-1] = '\0';
 			}
 		}
 		*Nskg=nskg;
@@ -256,7 +264,7 @@ void checkdist(int n, int *nc, double *maxc, double *xi, double *yi, double *zi,
 	int add_classSup=0;
 	double dij,lndij,dmax;	/*distance btw i & j, ln(dij),maximal distance between individuals*/
 	double sumd[MAXINTERVALS+3],sumlnd[MAXINTERVALS+3];/*sum of distances (or ln(dist)) within class*/
-	int nplnc[MAXINTERVALS+3];	   
+	int np,nplnc[MAXINTERVALS+3];	   
 	int **participic;
 	int p;
 	double *distp;
@@ -293,9 +301,12 @@ void checkdist(int n, int *nc, double *maxc, double *xi, double *yi, double *zi,
 	}
 
 	/*initialization*/
-	for(c=0;c<=(*nc)+1;c++){
+	for(c=0;c<MAXINTERVALS+3;c++){
 		sumd[c]=sumlnd[c]=0.0F;
-		npc[c]=nplnc[c]=0;
+		nplnc[c]=0;
+	}
+	for(c=0;c<=(*nc)+1;c++){
+		npc[c]=0;
 	}
 	dmax=0.0F;
  	participic=imatrix(0,n,0,(*nc)+1);
@@ -384,10 +395,10 @@ void checkdist(int n, int *nc, double *maxc, double *xi, double *yi, double *zi,
 void compute_allele_freq(int n,int Ncat,int *cati,int m,
 			int ndigit,int ploidy,int ***gilc,int *ploidyi,int *Nallelel,int **allelesizela,float ***Mgdlaa,
 			int alleledist,float ***Pkla,int **Nallelekl,int **Nmissinggenotkl,int **Nincompletegenotkl,
-			int **Nvalgenkl,float **Nnielsenkl,float **RA, int *K,float **Hekl,float **hTkl,float **vTkl,float **Dmkl,float **Dwmkl,float **Masizekl,float **Vasizekl)
+			int **Nvalgenkl,float **Nnielsenkl,float **RA, int *K,float **Hokl,float **Hekl,float **hTkl,float **vTkl,float **Dmkl,float **Dwmkl,float **Masizekl,float **Vasizekl)
 {
 	int i,l,a,a1,a2,k,k1,k2,npairs,nallelepairs;/*counter for individuals (i,j), locus (l), group (g), allele (a), category*/ 
-	float Navalid,nvalidpop,sumweight;		/*number of individuals with valid data*/
+	float Navalid,nvalidpop,**NvalidHokl,sumweight;		/*number of individuals with valid data*/
 	float Sasize,SSasize;	/*for estimators of allele size coef*/
 	float **Jkl;
 	int *Nik, ***Nkla;
@@ -415,10 +426,12 @@ void compute_allele_freq(int n,int Ncat,int *cati,int m,
 	for(l=1;l<=m;l++) if(Nallelel[l]>maxnal) maxnal=Nallelel[l];
 	Jkl=matrix(0,Ncat,0,m);
 	Nkla=i3tensor(-1,Ncat,0,m,0,maxnal);
+	NvalidHokl=matrix(0,Ncat,0,m);
 	
 	/*determine allele frequencies (allele '0' corresponds to a missing data)*/
 	for(k=0;k<=Ncat;k++) for(l=0;l<=m;l++) Nvalgenkl[k][l]=Nmissinggenotkl[k][l]=Nincompletegenotkl[k][l]=0;
 	for(k=-1;k<=Ncat;k++) for(l=0;l<=m;l++) for(a=0;a<=Nallelel[l];a++) Pkla[k][l][a]=Nkla[k][l][a]=0;
+	for(k=0;k<=Ncat;k++)for(l=0;l<=m;l++) NvalidHokl[k][l]=Hokl[k][l]=0.;
 
 	for(i=1;i<=n;i++){
 		for(l=1;l<=m;l++){
@@ -448,11 +461,46 @@ void compute_allele_freq(int n,int Ncat,int *cati,int m,
 				if(Navalid==0) Nmissinggenotkl[cati[i]][l]++;
 				if(Navalid>0 && Navalid<ploidyi[i]) Nincompletegenotkl[cati[i]][l]++;
 			}
-		}
+			//count observed heterozygosity
+			if(Navalid>1){
+				if(ploidyi[i]==2){
+					if(gilc[i][l][0]!=gilc[i][l][1]){
+						Hokl[0][l]++;
+						if(Ncat) Hokl[cati[i]][l]++;
+					}
+				}
+				else{ 
+					for(a1=0;a1<(ploidyi[i]-1);a1++)if(gilc[i][l][a1]!=0)for(a2=a1+1;a2<ploidyi[i];a2++)if(gilc[i][l][a2]!=0){
+						if(gilc[i][l][a1]!=gilc[i][l][a2]){
+							Hokl[0][l]+=1/(Navalid*(Navalid-1)/2.);
+							if(Ncat) Hokl[cati[i]][l]+=1/(Navalid*(Navalid-1)/2.);
+						}
+					}
+				}
+				NvalidHokl[0][l]++;
+				if(Ncat) NvalidHokl[cati[i]][l]++;
+			}
+
+		}//end loop l
 	}/*end of loop i*/
 
 	for(l=1;l<=m;l++) for(a=1;a<=Nallelel[l];a++) for(k=0;k<=Ncat;k++) Pkla[k][l][a]/=(Nik[k]-Pkla[k][l][0]);
 
+	for(k=0;k<=Ncat;k++){
+		NvalidHokl[k][0]=0;
+		for(l=1;l<=m;l++) { 
+			if(NvalidHokl[k][l]>0){
+				Hokl[k][l]/=NvalidHokl[k][l];
+				Hokl[k][0]+=Hokl[k][l];
+				NvalidHokl[k][0]++;
+			}
+			else Hokl[k][l]=MISSVAL;
+		}
+		if(NvalidHokl[k][0]>0) Hokl[k][0]/=NvalidHokl[k][0];
+		else Hokl[k][0]=MISSVAL;
+	}
+
+
 	for(l=1;l<=m;l++) for(k=0;k<=Ncat;k++) Pkla[k][l][0]=(float)Nvalgenkl[k][l];
 
 	for(k=0;k<=Ncat;k++){// tell for each population if it has at least 2 valid gene copies on each locus
@@ -581,9 +629,9 @@ void compute_allele_freq(int n,int Ncat,int *cati,int m,
 	} //end loop over locus
 
 	for(k=0;k<=Ncat;k++){
-		// nloci=0;
 		hTkl[k][0]=vTkl[k][0]=Dmkl[k][0]=Dwmkl[k][0]=0.0f;	
-	/*	for(l=1;l<=m;l++)if(Nvalgenkl[k][l]>1){
+	/*	nloci=0;
+		for(l=1;l<=m;l++)if(Nvalgenkl[k][l]>1){
 			nloci++;
 			hTkl[k][0]+=hTkl[k][l];
 			vTkl[k][0]+=vTkl[k][l];
@@ -629,6 +677,508 @@ void compute_allele_freq(int n,int Ncat,int *cati,int m,
 }/*end procedure compute_allele_freq*/
 
 
+/****************************************************************************/
+/* Function estimating the selfing rate within pop assuming a Mixed Mating Model using identity disequilibrium*/
+/*Function computing allele frequencies*/ 
+void selfing_estimation(int n,int Npop,int *popi,int m,int ploidy,int ***gilc,int *ploidyi,double *alpha,char *outputfilename,struct name namelocus[],struct name namepop[],int Npermut,long *seed)
+{
+	int i,l,l1,l2,a,c1,c2,ncomp,newallele,p,nJK,*np,*ploidyp,**nail; 
+
+	double numT,den,denT,**hgil,**hpil,**sumhglp,**sumhplp,***sumh2gllp,***sumh2pllp,***numgllp,***numpllp,***Nmissgllp,***Nmisspllp,g2,***g2gllp,***g2pllp,*sumhhgp,*sumhhpp;
+	double **estSgchsomsegC,**estSgchtidsegC,**estSpchsomsegC,**estSpchtidsegC;
+	double X,Y,Z,***estSgllp,***estSpllp,meanalpha;
+
+	double **rhgil,**rhpil,***rsumh2gllp,***rsumh2pllp,***Pvalh2gllp=NULL,***Pvalh2pllp=NULL;
+	int rep,**nvalidglp,**nvalidplp,**rnvalidglp,**rnvalidplp,***rigpli,***rippli;
+
+	double hforNallelein2ploid[3]={MISSVAL,0,1};
+	double hforNallelein4ploid[5]={MISSVAL,0,0.5833,0.8333,1};
+	double hforNallelein6ploid[7]={MISSVAL,0,0.4444,0.7111,0.8333,0.9333,1};
+	double hforNallelein8ploid[9]={MISSVAL,0,0.4464,0.6429,0.7714,0.8452,0.9107,0.9643,1};
+
+	FILE *fp;
+
+	nail=imatrix(0,n,0,m);
+	hgil=dmatrix(0,n,0,m);
+	hpil=dmatrix(0,n,0,m);
+
+	
+	//compute sample size per pop and define ploidy
+	np=ivector(0,Npop);	//vector of sample sizes
+	ploidyp=ivector(0,Npop);	
+	for(p=0;p<=Npop;p++) np[p]=ploidyp[p]=0;
+	for(i=1;i<=n;i++){
+		np[popi[i]]++; 
+		if(ploidyp[popi[i]]==0) ploidyp[popi[i]]=ploidyi[i];
+		else{
+			if(ploidyi[i]>0 && ploidyp[popi[i]]!=ploidyi[i]) ploidyp[popi[i]]=-1;
+		}
+	}
+
+	//check if alpha were given
+	meanalpha=0.;
+	for(l=1;l<=m;l++) meanalpha+=alpha[l]/m;
+	if(meanalpha==0.) alpha[0]=-1.; //value set when all alpha (double reduction rate per locus) are at 0
+	else{
+		alpha[0]=meanalpha; //value when all alpha are equal to a same positive value for all loci
+		for(l=1;l<=m;l++) if(alpha[l]!=meanalpha) alpha[0]=-2.;
+	}
+
+
+
+
+	//compute individual heterozygosity levels (hgil and hpil) and number of alleles per locus and individual (nail)
+	for(i=1;i<=n;i++){
+		for(l=1;l<=m;l++){
+			nail[i][l]=hgil[i][l]=0.;
+			if(ploidyi[i]==2){
+				if(gilc[i][l][0] && gilc[i][l][1]){
+					if(gilc[i][l][0] == gilc[i][l][1]){hgil[i][l]=0;nail[i][l]=1;}
+					else {hgil[i][l]=1;nail[i][l]=2;}
+				}
+				if((gilc[i][l][0] == 0) &&  (gilc[i][l][1]==0)){hgil[i][l]=MISSVAL;nail[i][l]=0;}
+				if((gilc[i][l][0] == 0) !=  (gilc[i][l][1]==0)){hgil[i][l]=MISSVAL;nail[i][l]=1;}
+			}
+			else{
+				ncomp=0;
+				for(c1=0;c1<ploidyi[i];c1++)if(gilc[i][l][c1]){
+					newallele=1;
+					for(c2=c1+1;c2<ploidyi[i];c2++)if(gilc[i][l][c2]){
+						ncomp++;					
+						if(gilc[i][l][c2]!=gilc[i][l][c1]) hgil[i][l]++;
+						else newallele=0;
+					}
+					if(newallele) nail[i][l]++;
+				}
+				if(ncomp) hgil[i][l]/=ncomp;
+				else hgil[i][l]=MISSVAL; 
+			}
+			if(ploidyi[i]==2) hpil[i][l]=hforNallelein2ploid[nail[i][l]];
+			if(ploidyi[i]==4) hpil[i][l]=hforNallelein4ploid[nail[i][l]];
+			if(ploidyi[i]==6) hpil[i][l]=hforNallelein6ploid[nail[i][l]];
+			if(ploidyi[i]==8) hpil[i][l]=hforNallelein8ploid[nail[i][l]];
+		}//end loop l
+	}//end loop i
+
+	
+	
+	//compute 2-locus double heterozygosities 
+	sumhglp=dmatrix(0,m,0,Npop);	//sum of single-locus heterozygosities per pop based on genotypes
+	sumhplp=dmatrix(0,m,0,Npop);	//sum of single-locus heterozygosities per pop based on phenotypes
+	sumh2gllp=d3tensor(0,m,0,m,0,Npop); //sum of 2-locus double heterozygosities per pop based on genotypes
+	sumh2pllp=d3tensor(0,m,0,m,0,Npop); //sum of 2-locus double heterozygosities per pop based on genotypes
+	numgllp=d3tensor(0,m,0,m,0,Npop); //sum of numerators of g2 estimates per pop based on genotypes
+	numpllp=d3tensor(0,m,0,m,0,Npop); //sum of numerators of g2 estimates per pop based on genotypes
+	Nmissgllp=d3tensor(0,m,0,m,0,Npop); //number of missing values for ind heteroz based on genotypes
+	Nmisspllp=d3tensor(0,m,0,m,0,Npop); //number of missing values for ind heteroz based on phenotypes
+	g2gllp=d3tensor(0,m,0,m,0,Npop); //identity disequilibrium for pairs of loci based on genotypes
+	g2pllp=d3tensor(0,m,0,m,0,Npop); //identity disequilibrium for pairs of loci based on phenotypes
+	estSgllp=d3tensor(0,m,0,m,0,Npop); //selfing rate estimates based on identity disequilibrium for pairs of loci based on genotypes
+	estSpllp=d3tensor(0,m,0,m,0,Npop); //selfing rate estimates based on identity disequilibrium for pairs of loci based on phenotypes
+	sumhhgp=dvector(0,Npop);	//sum of product of single locus heterozy for all pairs of loci, based on genotypes
+	sumhhpp=dvector(0,Npop);	//sum of product of single locus heterozy for all pairs of loci, based on phenotypes
+
+	for(l=1;l<=m;l++){	//count number of missing values per locus and sums of single-locus heterozygosities
+		for(p=0;p<=Npop;p++) Nmissgllp[l][0][p]=Nmisspllp[l][0][p]=sumhglp[l][p]=sumhplp[l][p]=0;
+		for(i=1;i<=n;i++){
+			if(hgil[i][l]!=MISSVAL) sumhglp[l][popi[i]]+=hgil[i][l];
+			else Nmissgllp[l][0][popi[i]]++;
+			if(hpil[i][l]!=MISSVAL) sumhplp[l][popi[i]]+=hpil[i][l];
+			else Nmisspllp[l][0][popi[i]]++;
+		}
+	}
+	for(p=0;p<=Npop;p++) sumhhgp[p]=sumhhpp[p]=sumh2gllp[0][0][p]=sumh2pllp[0][0][p]=numgllp[0][0][p]=numpllp[0][0][p]=estSgllp[0][0][p]=estSpllp[0][0][p]=0.;
+	for(l1=1;l1<m;l1++){ //count number of missing values per locus-pairs and sums of 2-locus double heterozygosities
+		for(l2=l1+1;l2<=m;l2++){
+			for(p=0;p<=Npop;p++) Nmissgllp[l1][l2][p]=Nmisspllp[l1][l2][p]=sumh2gllp[l1][l2][p]=sumh2pllp[l1][l2][p]=0;
+			for(i=1;i<=n;i++){
+				if(hgil[i][l1]!=MISSVAL && hgil[i][l2]!=MISSVAL) sumh2gllp[l1][l2][popi[i]]+=hgil[i][l1]*hgil[i][l2];
+/*vérifier s'il faut && ou ||*/				if(hgil[i][l1]==MISSVAL && hgil[i][l2]==MISSVAL) Nmissgllp[l1][l2][popi[i]]++;
+				if(hpil[i][l1]!=MISSVAL && hpil[i][l2]!=MISSVAL) sumh2pllp[l1][l2][popi[i]]+=hpil[i][l1]*hpil[i][l2];
+/*vérifier s'il faut && ou ||*/					if(hpil[i][l1]==MISSVAL && hpil[i][l2]==MISSVAL) Nmisspllp[l1][l2][popi[i]]++;
+			}
+
+			for(p=0;p<=Npop;p++) {
+				if(Npop && p==0)p++;
+				if(sumhglp[l1][p]*sumhglp[l2][p]-sumh2gllp[l1][l2][p]){
+//					sumh2gllp[0][0][p]+=sumh2gllp[l1][l2][p]/(np[p]-Nmissgllp[l1][l2][p]);
+//					sumhhgp[p]+=( (sumhglp[l1][p]*sumhglp[l2][p]-sumh2gllp[l1][l2][p])/(np[p]*(np[p]-1)-Nmissgllp[l1][0][p]*Nmissgllp[l2][0][p]+Nmissgllp[l1][l2][p]));					
+					den=(sumhglp[l1][p]*sumhglp[l2][p]-sumh2gllp[l1][l2][p])* (np[p]-Nmissgllp[l1][0][p]-Nmissgllp[l2][0][p]+Nmissgllp[l1][l2][p]) / ((np[p]-1)*(np[p]-Nmissgllp[l1][0][p]-Nmissgllp[l2][0][p])+Nmissgllp[l1][0][p]*Nmissgllp[l2][0][p]-Nmissgllp[l1][l2][p]);
+					sumhhgp[p]+=den;
+
+					//correction to account for double reduction (-> g2 estimates are then near equivalent to expected values in the absence of double reduction)
+					numgllp[l1][l2][p]=(sumh2gllp[l1][l2][p]-den)/(1+(ploidyp[p]-2)*alpha[l1])*(1+(ploidyp[p]-2)*alpha[l2]);
+					numgllp[0][0][p]+=numgllp[l1][l2][p];
+					//g2=g2gllp[l1][l2][p]=numgllp[l1][l2][p]/den;
+
+					sumh2gllp[0][0][p]+=sumh2gllp[l1][l2][p];
+//					g2=g2gllp[l1][l2][p]=sumh2gllp[l1][l2][p]/den -1.;
+
+					//selfing rate estimation for locus pair and given double reduction rates (alpha)
+/*					X=1+ (alpha[l1]+alpha[l2])*(ploidyp[p]-2) + alpha[l1]*alpha[l2]*(ploidyp[p]-2)*(ploidyp[p]-2) + g2*(9-16*ploidyp[p]+7*ploidyp[p]*ploidyp[p]-(alpha[l1]+alpha[l2])*(2-3*ploidyp[p]+ploidyp[p]*ploidyp[p])) ;
+					Y=g2*( 14-20*ploidyp[p]+7*ploidyp[p]*ploidyp[p]-(alpha[l1]+alpha[l2])*(8-10*ploidyp[p]+3*ploidyp[p]*ploidyp[p])+alpha[l1]*alpha[l2]*(ploidyp[p]-2)*(ploidyp[p]-2) );
+					Z=g2*( 4-12*ploidyp[p]+7*ploidyp[p]*ploidyp[p]+(alpha[l1]+alpha[l2]-alpha[l1]*alpha[l2])*(ploidyp[p]-2)*(ploidyp[p]-2) );
+					if((X*X-Y*Z)>=0. ) estSgllp[l1][l2][p]=(X-sqrt(X*X-Y*Z))/Y;
+					else estSgllp[l1][l2][p]=0.;  
+//					if(estSgllp[l1][l2][p]<0.) estSgllp[l1][l2][p]=0.;
+					estSgllp[0][0][p]+=estSgllp[l1][l2][p]*den;			*/
+				}
+				else g2gllp[l1][l2][p]=estSgllp[l1][l2][p]=MISSVAL;
+				if(sumhplp[l1][p]*sumhplp[l2][p]-sumh2pllp[l1][l2][p]){
+//					sumh2pllp[0][0][p]+=sumh2pllp[l1][l2][p]/(np[p]-Nmisspllp[l1][l2][p]);
+//					sumhhpp[p]+=( (sumhplp[l1][p]*sumhplp[l2][p]-sumh2pllp[l1][l2][p])/(np[p]*(np[p]-1)-Nmisspllp[l1][0][p]*Nmisspllp[l2][0][p]+Nmisspllp[l1][l2][p]));
+					den=(sumhplp[l1][p]*sumhplp[l2][p]-sumh2pllp[l1][l2][p])* (np[p]-Nmisspllp[l1][0][p]-Nmisspllp[l2][0][p]+Nmisspllp[l1][l2][p]) / ((np[p]-1)*(np[p]-Nmisspllp[l1][0][p]-Nmisspllp[l2][0][p])+Nmisspllp[l1][0][p]*Nmisspllp[l2][0][p]-Nmisspllp[l1][l2][p]);
+					sumhhpp[p]+=den;
+
+					//correction to account for double reduction (-> g2 estimates are then near equivalent to expected values in the absence of double reduction)
+					numpllp[l1][l2][p]=(sumh2pllp[l1][l2][p]-den) / (1+(ploidyp[p]-2)*alpha[l1])*(1+(ploidyp[p]-2)*alpha[l2]);
+					numpllp[0][0][p]+=numpllp[l1][l2][p];
+					//g2=g2pllp[l1][l2][p]=numpllp[l1][l2][p]/den;
+
+					sumh2pllp[0][0][p]+=sumh2pllp[l1][l2][p];
+//					g2=g2pllp[l1][l2][p]=sumh2pllp[l1][l2][p]/den -1.;
+
+					//selfing rate estimation for locus pair and given double reduction rates (alpha)
+/*					X=1+ (alpha[l1]+alpha[l2])*(ploidyp[p]-2) + alpha[l1]*alpha[l2]*(ploidyp[p]-2)*(ploidyp[p]-2) + g2*(9-16*ploidyp[p]+7*ploidyp[p]*ploidyp[p]-(alpha[l1]+alpha[l2])*(2-3*ploidyp[p]+ploidyp[p]*ploidyp[p])) ;
+					Y=g2*( 14-20*ploidyp[p]+7*ploidyp[p]*ploidyp[p]-(alpha[l1]+alpha[l2])*(8-10*ploidyp[p]+3*ploidyp[p]*ploidyp[p])+alpha[l1]*alpha[l2]*(ploidyp[p]-2)*(ploidyp[p]-2) );
+					Z=g2*( 4-12*ploidyp[p]+7*ploidyp[p]*ploidyp[p]+(alpha[l1]+alpha[l2]-alpha[l1]*alpha[l2])*(ploidyp[p]-2)*(ploidyp[p]-2) );
+					if((X*X-Y*Z)>=0. ) estSpllp[l1][l2][p]=(X-sqrt(X*X-Y*Z))/Y;
+					else estSpllp[l1][l2][p]=0.; 
+//					if(estSpllp[l1][l2][p]<0.) estSpllp[l1][l2][p]=0.;
+					estSpllp[0][0][p]+=estSpllp[l1][l2][p]*den;			*/
+				}
+				else g2pllp[l1][l2][p]=estSpllp[l1][l2][p]=MISSVAL;
+			}//en loop p
+		}//en loop l2
+	}//en loop l1
+
+	//Mutilocus estimate of selfing rate
+	estSgchsomsegC=dmatrix(0,Npop,-2,m);
+	estSgchtidsegC=dmatrix(0,Npop,-2,m);
+	estSpchsomsegC=dmatrix(0,Npop,-2,m);
+	estSpchtidsegC=dmatrix(0,Npop,-2,m);
+	for(p=0;p<=Npop;p++){
+		if(Npop && p==0)p++;
+		if(sumhhgp[p]){
+			estSgllp[0][0][p]/=sumhhgp[p];
+//			g2=g2gllp[0][0][p]=sumh2gllp[0][0][p]/sumhhgp[p] -1.; 
+			g2=g2gllp[0][0][p]=numgllp[0][0][p]/sumhhgp[p]; 
+			//Estimate selfing rate assuming chromosome segreg
+			if((1.+2.*(9.-16.*ploidyp[p]+7.*ploidyp[p]*ploidyp[p])*g2+(4.*ploidyp[p]-5.)*(4.*ploidyp[p]-5.)*g2*g2)>=0){
+				estSgchsomsegC[p][0]=(1.+(9.-16.*ploidyp[p]+7.*ploidyp[p]*ploidyp[p])*g2-sqrt(1.+2.*(9.-16.*ploidyp[p]+7.*ploidyp[p]*ploidyp[p])*g2+(4.*ploidyp[p]-5.)*(4.*ploidyp[p]-5.)*g2*g2))/((14.-20.*ploidyp[p]+7.*ploidyp[p]*ploidyp[p])*g2);
+			}
+			else estSgchsomsegC[p][0]=0.;
+			if(estSgchsomsegC[p][0]<0.) estSgchsomsegC[p][0]=0.;
+
+			//Estimate selfing rate assuming chromatid segreg (!!! OK only for non corrected g2 estimates)
+			if((9.+2.*(13.-40.*ploidyp[p]+28.*ploidyp[p]*ploidyp[p])*g2+(8.*ploidyp[p]-7.)*(8.*ploidyp[p]-7.)*g2*g2)>=0){
+				estSgchtidsegC[p][0]=(9.+(13.-40.*ploidyp[p]+28.*ploidyp[p]*ploidyp[p])*g2-3.*sqrt(9.+2.*(13.-40.*ploidyp[p]+28.*ploidyp[p]*ploidyp[p])*g2+(8.*ploidyp[p]-7.)*(8.*ploidyp[p]-7)*g2*g2))/((34.-64.*ploidyp[p]+28.*ploidyp[p]*ploidyp[p])*g2);
+			}
+			else estSgchtidsegC[p][0]=0.;
+			if(estSgchtidsegC[p][0]<0.) estSgchtidsegC[p][0]=0.;
+		}
+		else estSgchsomsegC[p][0]=estSgchtidsegC[p][0]=g2gllp[0][0][p]=MISSVAL;
+
+		if(sumhhpp[p]){
+			estSpllp[0][0][p]/=sumhhpp[p];
+//			g2=g2pllp[0][0][p]=sumh2pllp[0][0][p]/sumhhpp[p] -1.; 
+			g2=g2pllp[0][0][p]=numpllp[0][0][p]/sumhhpp[p] ; 
+			//Estimate selfing rate assuming chromosome segreg
+			if((1.+2.*(9.-16.*ploidyp[p]+7.*ploidyp[p]*ploidyp[p])*g2+(4.*ploidyp[p]-5.)*(4.*ploidyp[p]-5.)*g2*g2)>=0){
+				estSpchsomsegC[p][0]=(1.+(9.-16.*ploidyp[p]+7.*ploidyp[p]*ploidyp[p])*g2-sqrt(1.+2.*(9.-16.*ploidyp[p]+7.*ploidyp[p]*ploidyp[p])*g2+(4.*ploidyp[p]-5.)*(4.*ploidyp[p]-5.)*g2*g2))/((14.-20.*ploidyp[p]+7.*ploidyp[p]*ploidyp[p])*g2);
+			}
+			else estSpchsomsegC[p][0]=0.;
+			if(estSpchsomsegC[p][0]<0.)estSpchsomsegC[p][0]=0.;
+
+			//Estimate selfing rate assuming chromatid segreg (!!! OK only for non corrected g2 estimates)
+			if((9.+2.*(13.-40.*ploidyp[p]+28.*ploidyp[p]*ploidyp[p])*g2+(8.*ploidyp[p]-7.)*(8.*ploidyp[p]-7.)*g2*g2)>=0){
+				estSpchtidsegC[p][0]=(9.+(13.-40.*ploidyp[p]+28.*ploidyp[p]*ploidyp[p])*g2-3.*sqrt(9.+2.*(13.-40.*ploidyp[p]+28.*ploidyp[p]*ploidyp[p])*g2+(8.*ploidyp[p]-7.)*(8.*ploidyp[p]-7)*g2*g2))/((34.-64.*ploidyp[p]+28.*ploidyp[p]*ploidyp[p])*g2);
+			}
+			else estSpchtidsegC[p][0]=0.;
+			if(estSpchtidsegC[p][0]<0.)estSpchtidsegC[p][0]=0.;
+		}	
+		else estSpchsomsegC[p][0]=estSpchtidsegC[p][0]=g2pllp[0][0][p]=MISSVAL;
+	}//end loop p
+
+
+	//jackknife over loci
+	for(p=0;p<=Npop;p++){
+		if(Npop && p==0)p++;
+		if(sumhhgp[p]){
+			for(l1=1;l1<=m;l1++){//locus to remove
+				numT=numgllp[0][0][p];
+				denT=sumhhgp[p];
+				for(l2=1;l2<=m;l2++){
+					if(l1<l2) numT-=numgllp[l1][l2][p];
+					if(l1<l2) denT-=(sumhglp[l1][p]*sumhglp[l2][p]-sumh2gllp[l1][l2][p])* (np[p]-Nmissgllp[l1][0][p]-Nmissgllp[l2][0][p]+Nmissgllp[l1][l2][p]) / ((np[p]-1)*(np[p]-Nmissgllp[l1][0][p]-Nmissgllp[l2][0][p])+Nmissgllp[l1][0][p]*Nmissgllp[l2][0][p]-Nmissgllp[l1][l2][p]);
+					if(l1>l2) numT-=numgllp[l2][l1][p];
+					if(l1>l2) denT-=(sumhglp[l1][p]*sumhglp[l2][p]-sumh2gllp[l2][l1][p])* (np[p]-Nmissgllp[l1][0][p]-Nmissgllp[l2][0][p]+Nmissgllp[l2][l1][p]) / ((np[p]-1)*(np[p]-Nmissgllp[l1][0][p]-Nmissgllp[l2][0][p])+Nmissgllp[l1][0][p]*Nmissgllp[l2][0][p]-Nmissgllp[l2][l1][p]);
+				}
+				if(denT){
+//					g2=g2gllp[0][l1][p]=numT/denT -1.;
+					g2=g2gllp[0][l1][p]=numT/denT;
+					if((1.+2.*(9.-16.*ploidyp[p]+7.*ploidyp[p]*ploidyp[p])*g2+(4.*ploidyp[p]-5.)*(4.*ploidyp[p]-5.)*g2*g2)>=0){
+						estSgchsomsegC[p][l1]=(1.+(9.-16.*ploidyp[p]+7.*ploidyp[p]*ploidyp[p])*g2-sqrt(1.+2.*(9.-16.*ploidyp[p]+7.*ploidyp[p]*ploidyp[p])*g2+(4.*ploidyp[p]-5.)*(4.*ploidyp[p]-5.)*g2*g2))/((14.-20.*ploidyp[p]+7.*ploidyp[p]*ploidyp[p])*g2);
+					}
+					else estSgchsomsegC[p][l1]=0.;
+					if(estSgchsomsegC[p][l1]<0.) estSgchsomsegC[p][l1]=0.;
+
+					if((9.+2.*(13.-40.*ploidyp[p]+28.*ploidyp[p]*ploidyp[p])*g2+(8.*ploidyp[p]-7.)*(8.*ploidyp[p]-7.)*g2*g2)>=0){
+						estSgchtidsegC[p][l1]=(9.+(13.-40.*ploidyp[p]+28.*ploidyp[p]*ploidyp[p])*g2-3.*sqrt(9.+2.*(13.-40.*ploidyp[p]+28.*ploidyp[p]*ploidyp[p])*g2+(8.*ploidyp[p]-7.)*(8.*ploidyp[p]-7)*g2*g2))/((34.-64.*ploidyp[p]+28.*ploidyp[p]*ploidyp[p])*g2);
+					}
+					else estSgchtidsegC[p][l1]=0.;
+					if(estSgchtidsegC[p][l1]<0.)estSgchtidsegC[p][l1]=0.;
+				}
+				else g2gllp[0][l1][p]=estSgchsomsegC[p][l1]=estSgchtidsegC[p][l1]=MISSVAL;
+			}//end loop l1
+		}
+		else g2gllp[0][l1][p]=estSgchsomsegC[p][l1]=estSgchtidsegC[p][l1]=MISSVAL;
+		if(sumhhpp[p]){
+			for(l1=1;l1<=m;l1++){//locus to remove
+				numT=numpllp[0][0][p];
+				denT=sumhhpp[p];
+				for(l2=1;l2<=m;l2++){
+					if(l1<l2) numT-=numpllp[l1][l2][p];
+					if(l1<l2) denT-=(sumhplp[l1][p]*sumhplp[l2][p]-sumh2pllp[l1][l2][p])* (np[p]-Nmisspllp[l1][0][p]-Nmisspllp[l2][0][p]+Nmisspllp[l1][l2][p]) / ((np[p]-1)*(np[p]-Nmisspllp[l1][0][p]-Nmisspllp[l2][0][p])+Nmisspllp[l1][0][p]*Nmisspllp[l2][0][p]-Nmisspllp[l1][l2][p]);
+					if(l1>l2) numT-=numpllp[l2][l1][p];
+					if(l1>l2) denT-=(sumhplp[l1][p]*sumhplp[l2][p]-sumh2pllp[l2][l1][p])* (np[p]-Nmisspllp[l1][0][p]-Nmisspllp[l2][0][p]+Nmisspllp[l2][l1][p]) / ((np[p]-1)*(np[p]-Nmisspllp[l1][0][p]-Nmisspllp[l2][0][p])+Nmisspllp[l1][0][p]*Nmisspllp[l2][0][p]-Nmisspllp[l2][l1][p]);
+				}
+				if(denT){
+//					g2=g2pllp[0][l1][p]=numT/denT -1.;
+					g2=g2pllp[0][l1][p]=numT/denT;
+					if((1.+2.*(9.-16.*ploidyp[p]+7.*ploidyp[p]*ploidyp[p])*g2+(4.*ploidyp[p]-5.)*(4.*ploidyp[p]-5.)*g2*g2)>=0){
+						estSpchsomsegC[p][l1]=(1.+(9.-16.*ploidyp[p]+7.*ploidyp[p]*ploidyp[p])*g2-sqrt(1.+2.*(9.-16.*ploidyp[p]+7.*ploidyp[p]*ploidyp[p])*g2+(4.*ploidyp[p]-5.)*(4.*ploidyp[p]-5.)*g2*g2))/((14.-20.*ploidyp[p]+7.*ploidyp[p]*ploidyp[p])*g2);
+					}
+					else estSpchsomsegC[p][l1]=0.;
+					if(estSpchsomsegC[p][l1]<0.)estSpchsomsegC[p][l1]=0.;
+
+					if((9.+2.*(13.-40.*ploidyp[p]+28.*ploidyp[p]*ploidyp[p])*g2+(8.*ploidyp[p]-7.)*(8.*ploidyp[p]-7.)*g2*g2)>=0){
+						estSpchtidsegC[p][l1]=(9.+(13.-40.*ploidyp[p]+28.*ploidyp[p]*ploidyp[p])*g2-3.*sqrt(9.+2.*(13.-40.*ploidyp[p]+28.*ploidyp[p]*ploidyp[p])*g2+(8.*ploidyp[p]-7.)*(8.*ploidyp[p]-7)*g2*g2))/((34.-64.*ploidyp[p]+28.*ploidyp[p]*ploidyp[p])*g2);
+					}
+					else estSpchtidsegC[p][l1]=0.;
+					if(estSpchtidsegC[p][l1]<0.)estSpchtidsegC[p][l1]=0.;
+				}
+				else g2pllp[0][l1][p]=estSpchsomsegC[p][l1]=estSpchtidsegC[p][l1]=MISSVAL;
+			}//end loop l1
+		}
+		else g2pllp[0][l1][p]=estSpchsomsegC[p][l1]=estSpchtidsegC[p][l1]=MISSVAL;
+		//jacknife SE computations
+		nJK=g2gllp[1][0][p]=g2gllp[2][0][p]=estSgchsomsegC[p][-1]=estSgchsomsegC[p][-2]=estSgchtidsegC[p][-1]=estSgchtidsegC[p][-2]=0.;
+		for(l1=1;l1<=m;l1++)if(g2gllp[0][l1][p]!=MISSVAL) nJK++;
+		if(nJK>1)for(l1=1;l1<=m;l1++)if(g2gllp[0][l1][p]!=MISSVAL){			
+			g2gllp[0][l1][p]=nJK*g2gllp[0][0][p]-(nJK-1.)*g2gllp[0][l1][p];
+			g2gllp[1][0][p]+=g2gllp[0][l1][p]/nJK;
+			estSgchsomsegC[p][l1]=nJK*estSgchsomsegC[p][0]-(nJK-1.)*estSgchsomsegC[p][l1];
+			estSgchsomsegC[p][-1]+=estSgchsomsegC[p][l1]/nJK;
+			estSgchtidsegC[p][l1]=nJK*estSgchtidsegC[p][0]-(nJK-1.)*estSgchtidsegC[p][l1];
+			estSgchtidsegC[p][-1]+=estSgchtidsegC[p][l1]/nJK;
+		}
+		if(nJK>1)for(l1=1;l1<=m;l1++)if(g2gllp[0][l1][p]!=MISSVAL){			
+			g2gllp[2][0][p]+=(g2gllp[0][l1][p]-g2gllp[1][0][p])*(g2gllp[0][l1][p]-g2gllp[1][0][p]);
+			estSgchsomsegC[p][-2]+=(estSgchsomsegC[p][l1]-estSgchsomsegC[p][-1])*(estSgchsomsegC[p][l1]-estSgchsomsegC[p][-1]);
+			estSgchtidsegC[p][-2]+=(estSgchtidsegC[p][l1]-estSgchtidsegC[p][-1])*(estSgchtidsegC[p][l1]-estSgchtidsegC[p][-1]);
+		}
+		if(nJK>1){
+			g2gllp[2][0][p]=sqrt(g2gllp[2][0][p]/(nJK-1.)/nJK);
+			estSgchsomsegC[p][-2]=sqrt(estSgchsomsegC[p][-2]/(nJK-1.)/nJK);
+			estSgchtidsegC[p][-2]=sqrt(estSgchtidsegC[p][-2]/(nJK-1.)/nJK);
+		}
+
+
+		nJK=g2pllp[1][0][p]=g2pllp[2][0][p]=estSpchsomsegC[p][-1]=estSpchsomsegC[p][-2]=estSpchtidsegC[p][-1]=estSpchtidsegC[p][-2]=0;
+		for(l1=1;l1<=m;l1++)if(g2pllp[0][l1][p]!=MISSVAL) nJK++;
+		if(nJK>1)for(l1=1;l1<=m;l1++)if(g2pllp[0][l1][p]!=MISSVAL){			
+			g2pllp[0][l1][p]=nJK*g2pllp[0][0][p]-(nJK-1.)*g2pllp[0][l1][p];
+			g2pllp[1][0][p]+=g2pllp[0][l1][p]/nJK;
+			estSpchsomsegC[p][l1]=nJK*estSpchsomsegC[p][0]-(nJK-1.)*estSpchsomsegC[p][l1];
+			estSpchsomsegC[p][-1]+=estSpchsomsegC[p][l1]/nJK;
+			estSpchtidsegC[p][l1]=nJK*estSpchtidsegC[p][0]-(nJK-1.)*estSpchtidsegC[p][l1];
+			estSpchtidsegC[p][-1]+=estSpchtidsegC[p][l1]/nJK;
+		}
+		if(nJK>1)for(l1=1;l1<=m;l1++)if(g2pllp[0][l1][p]!=MISSVAL){			
+			g2pllp[2][0][p]+=(g2pllp[0][l1][p]-g2pllp[1][0][p])*(g2pllp[0][l1][p]-g2pllp[1][0][p]);
+			estSpchsomsegC[p][-2]+=(estSpchsomsegC[p][l1]-estSpchsomsegC[p][-1])*(estSpchsomsegC[p][l1]-estSpchsomsegC[p][-1]);
+			estSpchtidsegC[p][-2]+=(estSpchtidsegC[p][l1]-estSpchtidsegC[p][-1])*(estSpchtidsegC[p][l1]-estSpchtidsegC[p][-1]);
+		}
+		if(nJK>1){
+			g2pllp[2][0][p]=sqrt(g2pllp[2][0][p]/(nJK-1.)/nJK);
+			estSpchsomsegC[p][-2]=sqrt(estSpchsomsegC[p][-2]/(nJK-1.)/nJK);
+			estSpchtidsegC[p][-2]=sqrt(estSpchtidsegC[p][-2]/(nJK-1.)/nJK);
+		}
+
+	}//end loop p for jackknife
+
+
+
+
+
+	//test significance of g2g and g2p values by randomizing hg and hp values among individuals of same pop, independently for each locus and keeping the structure of missing data
+	if(Npermut){
+		printf("\n\nTesting identity disequil coef: permutations of sl genotypes among ind (%i)\n",Npermut);
+		nvalidglp=imatrix(0,m,0,Npop);
+		nvalidplp=imatrix(0,m,0,Npop);
+		rnvalidglp=imatrix(0,m,0,Npop);
+		rnvalidplp=imatrix(0,m,0,Npop);
+		rigpli=i3tensor(0,Npop,0,m,0,n);
+		rippli=i3tensor(0,Npop,0,m,0,n);
+		rhgil=dmatrix(0,n,0,m);
+		rhpil=dmatrix(0,n,0,m);
+		rsumh2gllp=d3tensor(0,m,0,m,0,Npop); //sum of 2-locus double heterozygosities per pop based on genotypes
+		rsumh2pllp=d3tensor(0,m,0,m,0,Npop); //sum of 2-locus double heterozygosities per pop based on genotypes
+		Pvalh2gllp=d3tensor(0,m,0,m,0,Npop);
+		Pvalh2pllp=d3tensor(0,m,0,m,0,Npop);
+		//create vectors to permute individuals independently for each locus
+		for(p=0;p<=Npop;p++)for(l=1;l<=m;l++)nvalidglp[l][p]=nvalidplp[l][p]=0;
+		for(i=1;i<=n;i++)for(l=1;l<=m;l++){
+			p=popi[i];
+			if(hgil[i][l]!=MISSVAL){
+				nvalidglp[l][p]++;
+				rigpli[p][l][nvalidglp[l][p]]=i;
+			}
+			if(hpil[i][l]!=MISSVAL){
+				nvalidplp[l][p]++;
+				rippli[p][l][nvalidplp[l][p]]=i;
+			}
+		}
+
+		for(p=0;p<=Npop;p++)for(l1=0;l1<=m;l1++)for(l2=0;l2<=m;l2++)Pvalh2gllp[l1][l2][p]=Pvalh2pllp[l1][l2][p]=0.;
+		//loop over randomizations
+		for(rep=1;rep<=Npermut;rep++){
+			if(Npermut>=100){if((rep%(Npermut/10))==0 || (rep<=(Npermut/10) && (rep%(Npermut/100))==0) ) printf(" %i",rep);}
+			else if((rep%(Npermut/10))==0) printf(" %i",rep);
+
+			//permute ind
+			for(p=0;p<=Npop;p++){
+				if(Npop && p==0)p++;
+				for(l=1;l<=m;l++){
+					if(nvalidglp[l][p]) resample_shuffle(rigpli[p][l],1,nvalidglp[l][p],seed);
+					if(nvalidplp[l][p]) resample_shuffle(rippli[p][l],1,nvalidplp[l][p],seed);
+				}
+			}
+			for(p=0;p<=Npop;p++)for(l=1;l<=m;l++)rnvalidglp[l][p]=rnvalidplp[l][p]=0;
+			for(i=1;i<=n;i++)for(l=1;l<=m;l++){
+				p=popi[i];
+				if(hgil[i][l]!=MISSVAL){
+					rnvalidglp[l][p]++;
+					rhgil[i][l]=hgil[rigpli[p][l][rnvalidglp[l][p]]][l];
+				}
+				if(hpil[i][l]!=MISSVAL){
+					rnvalidplp[l][p]++;
+					rhpil[i][l]=hpil[rippli[p][l][rnvalidplp[l][p]]][l];
+				}
+			}
+
+			if(rep==0){
+				printf("\nInd=");
+				for(i=1;i<=n;i++) printf(" %i",i);
+				printf("\nrInd=");
+				for(i=1;i<=n;i++) printf(" %i",rigpli[0][6][i]);
+			}
+
+			//compute h2 values
+			for(p=0;p<=Npop;p++) rsumh2gllp[0][0][p]=rsumh2pllp[0][0][p]=0;
+			for(l1=1;l1<m;l1++){ 
+				for(l2=l1+1;l2<=m;l2++){
+					for(p=0;p<=Npop;p++) rsumh2gllp[l1][l2][p]=rsumh2pllp[l1][l2][p]=0;
+					for(i=1;i<=n;i++){
+						if(hgil[i][l1]!=MISSVAL && hgil[i][l2]!=MISSVAL) rsumh2gllp[l1][l2][popi[i]]+=rhgil[i][l1]*rhgil[i][l2];
+						if(hpil[i][l1]!=MISSVAL && hpil[i][l2]!=MISSVAL) rsumh2pllp[l1][l2][popi[i]]+=rhpil[i][l1]*rhpil[i][l2];
+					}
+					for(p=0;p<=Npop;p++) {
+						if(Npop && p==0)p++;
+						if(sumh2gllp[l1][l2][p]!=MISSVAL) if(sumh2gllp[l1][l2][p]<rsumh2gllp[l1][l2][p]) Pvalh2gllp[l1][l2][p]++;
+						if(sumh2pllp[l1][l2][p]!=MISSVAL) if(sumh2pllp[l1][l2][p]<rsumh2pllp[l1][l2][p]) Pvalh2pllp[l1][l2][p]++;
+						rsumh2gllp[0][0][p]+=rsumh2gllp[l1][l2][p];
+						rsumh2pllp[0][0][p]+=rsumh2pllp[l1][l2][p];
+					}//en loop p
+				}//en loop l2
+			}//en loop l1
+			for(p=0;p<=Npop;p++) {
+				if(Npop && p==0)p++;
+				if(sumh2gllp[0][0][p]!=MISSVAL) if(sumh2gllp[0][0][p]<rsumh2gllp[0][0][p]) Pvalh2gllp[0][0][p]++;
+				if(sumh2pllp[0][0][p]!=MISSVAL) if(sumh2pllp[0][0][p]<rsumh2pllp[0][0][p]) Pvalh2pllp[0][0][p]++;
+			}
+		}//end loop rep
+		for(p=0;p<=Npop;p++) for(l1=0;l1<=m;l1++)for(l2=0;l2<=m;l2++){
+			Pvalh2gllp[l1][l2][p]/=Npermut;
+			Pvalh2pllp[l1][l2][p]/=Npermut;
+		}
+	}//end of if(Npermut)
+
+
+		
+
+	//write results
+	
+	strcpy(namepop[0].n,"Whole sample");
+	while((fp=fopen(outputfilename,"a"))==NULL){
+		printf("\nWARNING: Cannot open results file %c%s%c.\nIf it is being used by another application, close it first. Then press RETURN.\nPress ctrl+c if you wish to stop the program now.\n",'"',outputfilename,'"');
+		wait_a_char();
+	}
+	fprintf(fp,"\n\nSELFING RATE ESTIMATION based on STANDARDIZED IDENTITY DISEQUILIBRIUM (assume a Mixed Mating Model; SE = standard errors estimated by jackknife over loci; method described in Hardy 2015)");
+	if(ploidy==2) fprintf(fp,"\nPopulation\tPloidy\tg2(multilocus std identity disequilibrium)\tSE(g2)\tPval(g2=0)\t\tS(selfing rate))\tSE(S)\t\tg2 per locus pair");
+//	if(ploidy>2) fprintf(fp,"\n\nEstimations based on given genotypes. \nPopulation\tPloidy\tg2g(multilocus std identity disequilibrium based on genotypes)\tSE(g2g)\tPval(g2g=0)\t\tSg1(selfing rate estimation under chromosome segregation)\tSE(Sg1)\t\tSg2(selfing rate estimation under chromatid segregation)\tSE(Sg2)\t\tSg(selfing rate estimation under given alpha values)\tSE(Sg)\t\tg2g per locus pair");
+	if(ploidy>2){
+		if(alpha[0]==-1.) fprintf(fp,"\nEstimates assume an autopolyploid organism with chromosome segregation (i.e. double reduction alpha=0 at all loci)");
+		if(alpha[0]>=0.) fprintf(fp,"\nEstimates assume an autopolyploid organism with rates of double reduction alpha=%g for all loci", alpha[0]);
+		if(alpha[0]==-2.) fprintf(fp,"\nEstimates assume an autopolyploid organism with the following rates of double reduction: alpha (name of locus): ");
+		if(alpha[0]==-2.) for(l=1;l<=m;l++) fprintf(fp,"\t%g (%s)",alpha[l],namelocus[l].n);
+		fprintf(fp,"\n\nEstimations based on given GENOTYPES. \nPopulation\tPloidy\tg2g(multilocus std identity disequilibrium based on genotypes, corrected for rates of double reduction (alpha))\tSE(g2g)\tPval(g2g=0)\t\tSg(selfing rate estimation)\tSE(Sg)\t\tg2g per locus pair");
+	}
+
+	if(m<=1000){ 
+		for(l1=1;l1<m;l1++)for(l2=l1+1;l2<=m;l2++) fprintf(fp,"\t%s-%s",namelocus[l1].n,namelocus[l2].n);
+//		fprintf(fp,"\t\tselfing estimate per locus pair");
+//		for(l1=1;l1<m;l1++)for(l2=l1+1;l2<=m;l2++) fprintf(fp,"\t%s-%s",namelocus[l1].n,namelocus[l2].n);
+	}
+
+	for(p=0;p<=Npop;p++){
+		if(Npop && p==0)p++;
+		if(Npermut){
+		/*	if(ploidy==2)*/ fprintf(fp,"\n%s\t%i\t%g\t%g\t%g\t\t%g\t%g",namepop[p].n,ploidyp[p],g2gllp[0][0][p],g2gllp[2][0][p],Pvalh2gllp[0][0][p],estSgchsomsegC[p][0],estSgchsomsegC[p][-2]);
+		//	if(ploidy>2) fprintf(fp,"\n%s\t%i\t%g\t%g\t%g\t\t%g\t%g\t\t%g\t%g\t\t%g\t%g",namepop[p].n,ploidyp[p],g2gllp[0][0][p],g2gllp[2][0][p],Pvalh2gllp[0][0][p],estSgchsomsegC[p][0],estSgchsomsegC[p][-2],estSgchtidsegC[p][0],estSgchtidsegC[p][-2],estSgllp[0][0][p]);
+		}
+		else{
+		/*	if(ploidy==2)*/ fprintf(fp,"\n%s\t%i\t%g\t%g\t\t\t%g\t%g",namepop[p].n,ploidyp[p],g2gllp[0][0][p],g2gllp[2][0][p],estSgchsomsegC[p][0],estSgchsomsegC[p][-2]);
+		//	if(ploidy>2) fprintf(fp,"\n%s\t%i\t%g\t%g\t\t\t%g\t%g\t\t%g\t%g\t\t%g\t%g",namepop[p].n,ploidyp[p],g2gllp[0][0][p],g2gllp[2][0][p],estSgchsomsegC[p][0],estSgchsomsegC[p][-2],estSgchtidsegC[p][0],estSgchtidsegC[p][-2],estSgllp[0][0][p]);
+		}
+		fprintf(fp,"\t\t");
+		if(m<=1000){ 
+			for(l1=1;l1<m;l1++)for(l2=l1+1;l2<=m;l2++) fprintf(fp,"\t%g",g2gllp[l1][l2][p]);
+//			fprintf(fp,"\t\t");
+//			for(l1=1;l1<m;l1++)for(l2=l1+1;l2<=m;l2++) fprintf(fp,"\t%g",estSgllp[l1][l2][p]);
+		}
+	}
+
+	if(ploidy>2){
+//		fprintf(fp,"\n\nEstimations based on PHENOTYPES (i.e. considering the number of alleles observed per single locus, irrespective of allele dosage)\nPopulation\tPloidy\tg2p(multilocus std identity disequilibrium based on phenotypes)\tSE(g2p)\tPval(g2p=0)\t\tSp1(selfing rate estimation under chromosome segregation)\tSE(Sp1)\t\tSp2(selfing rate estimation under chromatid segregation)\tSE(Sp2)\t\tSp(selfing rate estimation under given alpha values)\tSE(Sp)");
+		fprintf(fp,"\n\nEstimations based on PHENOTYPES (i.e. considering the number of alleles observed per single locus, irrespective of allele dosage)\nPopulation\tPloidy\tg2p(multilocus std identity disequilibrium based on phenotypes,corrected for rates of double reduction (alpha))\tSE(g2p)\tPval(g2p=0)\t\tSp(selfing rate estimation)\tSE(Sp)");
+		fprintf(fp,"\t\tg2p per locus pair");
+		if(m<=1000) for(l1=1;l1<m;l1++)for(l2=l1+1;l2<=m;l2++) fprintf(fp,"\t%s-%s",namelocus[l1].n,namelocus[l2].n);
+		for(p=0;p<=Npop;p++){
+			if(Npop && p==0)p++;
+//			if(Npermut)fprintf(fp,"\n%s\t%i\t%g\t%g\t%g\t\t%g\t%g\t\t%g\t%g\t\t%g\t%g",namepop[p].n,ploidyp[p],g2pllp[0][0][p],g2pllp[2][0][p],Pvalh2pllp[0][0][p],estSpchsomsegC[p][0],estSpchsomsegC[p][-2],estSpchtidsegC[p][0],estSpchtidsegC[p][-2],estSpllp[0][0][p]);
+			if(Npermut)fprintf(fp,"\n%s\t%i\t%g\t%g\t%g\t\t%g\t%g",namepop[p].n,ploidyp[p],g2pllp[0][0][p],g2pllp[2][0][p],Pvalh2pllp[0][0][p],estSpchsomsegC[p][0],estSpchsomsegC[p][-2]);
+//			else fprintf(fp,"\n%s\t%i\t%g\t%g\t\t\t%g\t%g\t\t%g\t%g\t\t%g\t%g",namepop[p].n,ploidyp[p],g2pllp[0][0][p],g2pllp[2][0][p],estSpchsomsegC[p][0],estSpchsomsegC[p][-2],estSpchtidsegC[p][0],estSpchtidsegC[p][-2],estSpllp[0][0][p]);
+			else fprintf(fp,"\n%s\t%i\t%g\t%g\t\t\t%g\t%g",namepop[p].n,ploidyp[p],g2pllp[0][0][p],g2pllp[2][0][p],estSpchsomsegC[p][0],estSpchsomsegC[p][-2]);
+			fprintf(fp,"\t\t");
+			if(m<=1000){ 
+				for(l1=1;l1<m;l1++)for(l2=l1+1;l2<=m;l2++) fprintf(fp,"\t%g",g2pllp[l1][l2][p]);
+	//			fprintf(fp,"\t\t");
+	//			for(l1=1;l1<m;l1++)for(l2=l1+1;l2<=m;l2++) fprintf(fp,"\t%g",estSpllp[l1][l2][p]);
+			}
+		}
+	}
+
+	fclose(fp);
+
+
+
+}
+/****************************************************************************/
+
+
+
 /****************************************************************************/
 
 /*Function computing the pairwise kinship (or related coef =stat) for each pair of 
@@ -643,23 +1193,25 @@ void compute_pairwise_corr_F(int n,int ntot,int Ncat,int *cati,int m,int ndigit,
 			float ***corrSlij[],int NS,int Stat[12],int FreqRef,float **givenPla,int *Ngivenallelel,
 			int TypeComp,float givenF,double *H2,int compute_inbreeding_coef_only,int JKl)
 {
-	int i,j,k,l,linit,g,ci,cj,a,a1,a2,maxa,S,c;//counter for individuals (i,j), locus (l), gene (g), allele (a), max value for a at locus l, type of statistic (S=1 for Loiselle, 2 for Ritland original, 3 for Wright coef of relationship, 4 for Rousset) 
+	int i,j,k,ki,kj,l,linit,g,ci,cj,a,a1,a2,maxa,S,c;//counter for individuals (i,j), locus (l), gene (g), allele (a), max value for a at locus l, type of statistic (S=1 for Loiselle, 2 for Ritland original, 3 for Wright coef of relationship, 4 for Rousset) 
 	int newSumNall; //sums of the number of alleles per locus
+	float Pnew;	//corrected (Ritland original estimator) allele frequency
 	int newNloci;	//number of valid loci excluded those monomorphic
-	int Ncomp,NcompRitl,Ncompasc[MMAX],NcompNij[MMAX];		//comp=1 if there is no missing dat, otherwize=0
+	int Ncomp,NcompRitl,*Ncompasc,*NcompNij;		//comp=1 if there is no missing dat, otherwize=0
+	double Ngivenallele,Nvalidallele;
 	float ***Pkla,**Masizekl,**Vasizekl,**Plak[MMAX];
-	int **Nallelekl,**Nvalgenkl,*Nivalidk,Ncvalid,ploidyi,Nallelel[MMAX];
+	int **Nallelekl,**Nvalgenkl,*Nivalidk,Ncvalid,ploidyi,*Nallelel;
 	double Sasize,SSasize;
 	float SoP,SoPt,Ritl=(float)MISSVAL,Ritlt,RitlN,RitlD;
-	float Rous=(float)MISSVAL,**LoisD=NULL,Lois=(float)MISSVAL,Loist,LoisDt,LoisN,LoisNt,**DivN=NULL,Nij=(float)MISSVAL,SNij,SNijcomp;	//homozygosity per locus, denominator in Loiselle eq
+	float Rous=(float)MISSVAL,**LoisD=NULL,Lois=(float)MISSVAL,Loist,LoisDt,LoisN,LoisNt,**DivN=NULL,Nij=(float)MISSVAL,SNij,SNijcomp,Qij,sQij;	//homozygosity per locus, denominator in Loiselle eq
 	float **h2kl,**RdomD,Rdom=(float)MISSVAL,Rdomt,RdomDt,RdomN,RdomNt;
 	float **Hokl,Hw,Hwt,Hb,Hbt,Hot;   //for estimator of Rousset, 1999
-	int **Nvalidwpairkl;
+	int **Nvalidwpairkl,nQij;
 	float ascor=(float)MISSVAL,asc,Sasc,SNcomp;	//for estimators of allele size coef
 	float Pa,Pb,Pc,Pd,Sab,Sac,Sad,Sbc,Sbd,Sca,Scb,Scd,Sda,Sdb,rLynch=(float)MISSVAL,dLynch=(float)MISSVAL,rLynch1,rLynch2,dLynch1,dLynch2,WrLynch,WdLynch,WrLynch1,WrLynch2,WdLynch1,WdLynch2,SrLynch1,SrLynch2,SWrLynch,SWrLynch1,SWrLynch2,SWdLynch,SdLynch1,SdLynch2,SWdLynch1,SWdLynch2,*SrLynch1l,*SrLynch2l,*SWrLynch1l,*SWrLynch2l,*SdLynch1l,*SdLynch2l,*SWdLynch1l,*SWdLynch2l;
-	float Sij,rli,Srli[MMAX],SSrli[MMAX],Nrli[MMAX],Var,MLrli,SumW; 
+	float Sij,rli,*Srli,*SSrli,*Nrli,Var,MLrli,SumW; 
 	float rQueller=(float)MISSVAL,rQueller1,rQueller2,WrQueller,WrQueller1,WrQueller2,SrQueller1,SrQueller2,SWrQueller1,SWrQueller2,*SrQueller1l,*SrQueller2l,*SWrQueller1l,*SWrQueller2l;
-	int Elois,Eritl,Erous,Erela,Easc,ENij,Erlynch,Edlynch,Erqueller,Edwang,Erwang,Ekinshipdom,Erelatdom,Erli;   //define if the statistic is asked (0=no), value>0 = value of S
+	int Eq,Elois,Eritl,Erous,Erela,Easc,ENij,Erlynch,Edlynch,Erqueller,Edwang,Erwang,Ekinshipdom,Erelatdom,Erli;   //define if the statistic is asked (0=no), value>0 = value of S
 	float **Plai[MMAX],***varkla,pi,qi,*Spik,*SSpik,cov,covt,var,vart,Mori=(float)MISSVAL;
 	int **nvalidkl;
 	int FRef;  //=0 if ref pop = all sample, =#categories if ref pop=cat, =-1 if ref pop = given allele freq
@@ -669,8 +1221,15 @@ void compute_pairwise_corr_F(int n,int ntot,int Ncat,int *cati,int m,int ndigit,
 	double WWangJK,P1JK,P2JK,P3JK,a2JK,a3JK,a4JK,a22JK,bJK,cJK,dJK,eJK,fJK,gJK,VJK,N1JK,N2JK,N3JK,N4JK,N5JK,N6JK,N7JK,N8JK;
 	int Swang,Nvalidloci;
 
+	Ncompasc=ivector(0,m);
+	NcompNij=ivector(0,m);
+	Nallelel=ivector(0,m);
+	Srli=vector(0,m);
+	SSrli=vector(0,m);
+	Nrli=vector(0,m);
+
 	//define if the statistic is asked (0=no), value>0 = value of S
-	Elois=Eritl=Erous=Erela=Easc=Erlynch=Edlynch=Erqueller=Erwang=Edwang=Ekinshipdom=Erelatdom=Erli=ENij=0;  
+	Eq=Elois=Eritl=Erous=Erela=Easc=Erlynch=Edlynch=Erqueller=Erwang=Edwang=Ekinshipdom=Erelatdom=Erli=ENij=0;  
 	for(S=1;S<=NS;S++){
 		if(Stat[S]==1) Elois=S;		//estimator of kinship coef of Loiselle et al.,1995
 		if(Stat[S]==2) Eritl=S;		//estimator of kinship coef of Ritland,1996
@@ -686,6 +1245,7 @@ void compute_pairwise_corr_F(int n,int ntot,int Ncat,int *cati,int m,int ndigit,
 		if(Stat[S]==12) Erelatdom=S;	//estimator of relationship coef for dominant marker
 		if(Stat[S]==13) Erli=S;		//estimator of relationship coef for dominant marker
 		if(Stat[S]==14) ENij=S;		//estimator of Nij (kinship equivalent taking into account the phylogenetic distance between alleles)
+		if(Stat[S]==15) Eq=S;		//estimator of Qij (proportion of allele identity)
 	}
 
 	if(m==1) linit=1;
@@ -764,7 +1324,7 @@ void compute_pairwise_corr_F(int n,int ntot,int Ncat,int *cati,int m,int ndigit,
 	
 	/*KINSHIP ESTIMATORS (estimator Loiselle, estimator Ritland, allele size correlation)*/
 	/*compute inbreeding for each indiv*/
-	if(Elois || Eritl || Easc || ENij){
+	if(Elois || Eritl || Easc || ENij || Eq){
 		/*compute denominators for kinship estimator of Loiselle*/
 		if(Elois){
 			LoisD=matrix(0,FRef,0,m);
@@ -789,10 +1349,11 @@ void compute_pairwise_corr_F(int n,int ntot,int Ncat,int *cati,int m,int ndigit,
 		if(Eritl) for(l=1;l<=m;l++) corrSlij[Eritl][l][0][0]=Nallelekl[0][l]-1.0f;
 		if(Easc) for(l=1;l<=m;l++) corrSlij[Easc][l][0][0]=Vasizekl[0][l];
 		if(ENij) for(l=1;l<=m;l++) corrSlij[ENij][l][0][0]=DivN[0][l];
+		if(Eq) for(l=1;l<=m;l++) corrSlij[Eq][l][0][0]=1.;
 		if(ploidy>1){  /*compute inbreeding coef from kinship between genes within indiv*/
 			for(i=1;i<=n;i++){
-				SoPt=LoisDt=LoisNt=Sasc=SNcomp=SNij=SNijcomp=0.;
-				newNloci=newSumNall=0;
+				SoPt=LoisDt=LoisNt=Sasc=SNcomp=SNij=SNijcomp=sQij=0.;
+				newNloci=newSumNall=nQij=0;
 
 				if(FreqRef>0) k=cati[i];
 				else k=0;
@@ -800,13 +1361,14 @@ void compute_pairwise_corr_F(int n,int ntot,int Ncat,int *cati,int m,int ndigit,
 				for(l=1;l<=m;l++){
 					NcompRitl=Ncomp=0;
 					LoisN=SoP=ascor=0.;
-					Nij=0.;
+					Nij=Qij=0.;
 
 					for(ci=0;ci<(ploidy-1);ci++) for(cj=(ci+1);cj<ploidy;cj++){ 
 						if(gilc[i][l][ci]&&gilc[i][l][cj]){	/*if no missing value*/
 							NcompRitl++; Ncomp++; 
 							/*make the allele comparisons between i & j*/
 							if(gilc[i][l][ci]==gilc[i][l][cj]){ 
+								if(Eq) Qij++;
 								if(Eritl){
 
 									SoP+=1.0f/Pkla[k][l][gilc[i][l][ci]];	  
@@ -843,6 +1405,16 @@ void compute_pairwise_corr_F(int n,int ntot,int Ncat,int *cati,int m,int ndigit,
 						}//end of if missing value
 					}//end of loops ci and cj
 					
+					if(Eq){ 
+						if(Ncomp){
+							Qij/=Ncomp;
+							corrSlij[Eq][l][i][i]=Qij;
+							sQij+=Qij;
+							nQij++;
+						}
+						else corrSlij[Eq][l][i][i]=(float)MISSVAL;
+					}
+
 					if(Elois && Ncomp && LoisD[k][l]){ 
 						LoisN/=Ncomp;
 						Lois=(LoisN/LoisD[k][l]);
@@ -882,6 +1454,11 @@ void compute_pairwise_corr_F(int n,int ntot,int Ncat,int *cati,int m,int ndigit,
 				}/*end of loop l*/
 
 				if(m>1){
+					if(Eq){ 
+						if(nQij) corrSlij[Eq][0][i][i]=sQij/nQij;
+						else corrSlij[Eq][0][i][i]=(float)MISSVAL;
+					}
+
 					if(Elois && LoisDt) Loist=LoisNt/LoisDt;
 					else Loist=(float)MISSVAL;
 					if(Elois) corrSlij[Elois][0][i][i]=Loist;//kinship of Loiselle
@@ -900,6 +1477,14 @@ void compute_pairwise_corr_F(int n,int ntot,int Ncat,int *cati,int m,int ndigit,
 				}
 				//Compute multilocus estimator for all loci-1 (to compute jackknife estimators in other routines)
 				if(JKl && m>1)for(l=1;l<=m;l++){
+					if(Eq){
+						if(corrSlij[Eq][0][i][i]!=(float)MISSVAL && corrSlij[Eq][l][i][i]!=(float)MISSVAL) {
+							Qij=(sQij-corrSlij[Eq][l][i][i])/(nQij-1.);
+						}
+						if(corrSlij[Eq][l][i][i]==(float)MISSVAL) Qij=corrSlij[Eq][0][i][i];
+						corrSlij[Eq][-l][i][i]=Qij;
+					}
+
 					if(Elois){
 						if(corrSlij[Elois][0][i][i]!=(float)MISSVAL && corrSlij[Elois][l][i][i]!=(float)MISSVAL && (LoisDt-LoisD[k][l])){
 							LoisN=corrSlij[Elois][0][i][i]*LoisDt-corrSlij[Elois][l][i][i]*LoisD[k][l];
@@ -952,11 +1537,11 @@ void compute_pairwise_corr_F(int n,int ntot,int Ncat,int *cati,int m,int ndigit,
 				if(FreqRef==1 && cati[i]==cati[j]) k=cati[i];	//define ref allele freq
 				else k=0;
 
-				SoPt=LoisDt=LoisNt=Sasc=SNcomp=SNij=SNijcomp=0.;
-				newNloci=newSumNall=0;
+				SoPt=LoisDt=LoisNt=Sasc=SNcomp=SNij=SNijcomp=sQij=0.;
+				newNloci=newSumNall=nQij=0;
 				for(l=1;l<=m;l++){
 					Ncomp=NcompRitl=0;
-					LoisN=SoP=ascor=0.;
+					LoisN=SoP=ascor=Qij=0.;
 					Nij=0.;
 					
 					for(ci=0;ci<ploidy;ci++) for(cj=0;cj<ploidy;cj++){ 
@@ -965,6 +1550,7 @@ void compute_pairwise_corr_F(int n,int ntot,int Ncat,int *cati,int m,int ndigit,
 							//make the allele comparisons between i & j
 							if(gilc[i][l][ci]==gilc[j][l][cj]){ 
 								LoisN+=1.0f;
+								if(Eq) Qij++;
 								if(Eritl){
 
 									SoP+=1.0f/Pkla[0][l][gilc[i][l][ci]];		 
@@ -1002,6 +1588,20 @@ void compute_pairwise_corr_F(int n,int ntot,int Ncat,int *cati,int m,int ndigit,
 						}//end of missing value
 					}//end of loops ci and cj
 					
+					if(Eq){
+						if(Ncomp){
+							Qij/=Ncomp;
+							sQij+=Qij;
+							nQij++;
+							corrSlij[Eq][l][i][j]=Qij;
+							corrSlij[Eq][l][j][i]=1.; //weight
+						}
+						else{
+							corrSlij[Eq][l][i][j]=(float)MISSVAL;
+							corrSlij[Eq][l][j][i]=0.;
+						}
+					}
+
 					if(Elois){
 						if(Ncomp && LoisD[k][l]){ 
 							LoisN/=Ncomp;
@@ -1062,6 +1662,17 @@ void compute_pairwise_corr_F(int n,int ntot,int Ncat,int *cati,int m,int ndigit,
 				}//end of loop l
 
 				if(m>1){
+					if(Eq){
+						if(nQij){
+							corrSlij[Eq][0][i][j]=sQij/nQij;
+							corrSlij[Eq][0][j][i]=nQij;
+						}
+						else{
+							corrSlij[Eq][0][i][j]=(float)MISSVAL;
+							corrSlij[Eq][0][j][i]=0.;
+						}
+					}
+
 					if(Elois){
 						if(LoisDt){
 							Loist=LoisNt/LoisDt;
@@ -1101,12 +1712,12 @@ void compute_pairwise_corr_F(int n,int ntot,int Ncat,int *cati,int m,int ndigit,
 					if(ENij){
 						if(SNijcomp){
 							Nij=SNij/SNijcomp; 
-							corrSlij[Easc][0][i][j]=Nij;
-							corrSlij[Easc][0][j][i]=SNijcomp;
+							corrSlij[ENij][0][i][j]=Nij;
+							corrSlij[ENij][0][j][i]=SNijcomp;
 						}
 						else{
-							corrSlij[Easc][0][i][j]=(float)MISSVAL;
-							corrSlij[Easc][0][j][i]=0.;
+							corrSlij[ENij][0][i][j]=(float)MISSVAL;
+							corrSlij[ENij][0][j][i]=0.;
 						}
 					}
 
@@ -1115,7 +1726,7 @@ void compute_pairwise_corr_F(int n,int ntot,int Ncat,int *cati,int m,int ndigit,
 				//Compute multilocus estimator for all loci-1 (to compute jackknife estimators in other routines)
 		/**/	if(JKl && m>1)for(l=1;l<=m;l++){
 
-					for(S=1;S<=NS;S++)if(S==Elois || S==Eritl || S==Easc || S==ENij){
+					for(S=1;S<=NS;S++)if(S==Elois || S==Eritl || S==Easc || S==ENij || S==Eq){
 						if(corrSlij[S][0][i][j]!=(float)MISSVAL && corrSlij[S][l][i][j]!=(float)MISSVAL && (corrSlij[S][0][j][i]-corrSlij[S][l][j][i])){
 							LoisN=corrSlij[S][0][i][j]*corrSlij[S][0][j][i]-corrSlij[S][l][i][j]*corrSlij[S][l][j][i];
 							Lois=LoisN/(corrSlij[S][0][j][i]-corrSlij[S][l][j][i]);
@@ -1382,7 +1993,7 @@ void compute_pairwise_corr_F(int n,int ntot,int Ncat,int *cati,int m,int ndigit,
 	//COEF RELATIONSHIP (MORAN'S I on indiv allele freq)
 	if(Erela){   
 		//compute allele freq for each ind and variances in allele freq
-		for(l=1;l<=m;l++) Plai[l]=matrix(0,Nallelel[l],0,n);
+		for(l=1;l<=m;l++) Plai[l]=matrix(0,Nallelel[l],0,ntot);
 		for(l=1;l<=m;l++) Plak[l]=matrix(0,Nallelel[l],0,FRef);
 		varkla=f3tensor(0,FRef,0,m,0,maxa);
 		Spik=vector(0,FRef);
@@ -1394,7 +2005,7 @@ void compute_pairwise_corr_F(int n,int ntot,int Ncat,int *cati,int m,int ndigit,
 				nvalidkl[k][l]=0;
 			}
 			k=0;
-			for(i=1;i<=n;i++){
+			for(i=1;i<=ntot;i++){
 				if(FRef) k=cati[i];
 				pi=qi=0.;
 				for(g=0;g<ploidy;g++){
@@ -1428,8 +2039,9 @@ void compute_pairwise_corr_F(int n,int ntot,int Ncat,int *cati,int m,int ndigit,
 			for(j=i+1;j<=n;j++){
 				if(TypeComp==1)if(cati[i]!=cati[j]) continue;
 				if(TypeComp==2)if(cati[i]==cati[j]) continue;
-				if(FreqRef>0 && cati[i]==cati[j]) k=cati[i];
-				else k=0;
+				if(FreqRef>0 && cati[i]==cati[j]) k=ki=kj=cati[i];
+				else if(FreqRef>0 && cati[i]!=cati[j]){ ki=cati[i]; kj=cati[j];}
+				else k=ki=kj=0;
 
 				covt=vart=0.;
 				for(l=1;l<=m;l++){
@@ -1437,9 +2049,10 @@ void compute_pairwise_corr_F(int n,int ntot,int Ncat,int *cati,int m,int ndigit,
 						cov=var=0.;
 						for(a=1;a<=Nallelel[l];a++){
 					//		cov+=(Plai[l][a][i]-Pkla[k][l][a])*(Plai[l][a][j]-Pkla[k][l][a]);
-							cov+=(Plai[l][a][i]-Plak[l][a][k])*(Plai[l][a][j]-Plak[l][a][k]);
-							if((nvalidkl[k][l]-1.)>0) cov+=varkla[k][l][a]/(nvalidkl[k][l]-1.0f); //bias correction
-							var+=varkla[k][l][a];	 
+							cov+=(Plai[l][a][i]-Plak[l][a][ki])*(Plai[l][a][j]-Plak[l][a][kj]);
+							if(ki==kj) if((nvalidkl[k][l]-1.)>0) cov+=varkla[k][l][a]/(nvalidkl[k][l]-1.0f); //bias correction
+							if(ki==kj)var+=varkla[k][l][a];	
+							else var+=sqrt(varkla[ki][l][a])*sqrt(varkla[kj][l][a]);
 						}
 						covt+=cov;
 						vart+=var;
@@ -1464,11 +2077,11 @@ void compute_pairwise_corr_F(int n,int ntot,int Ncat,int *cati,int m,int ndigit,
 				}
 				/*Compute multilocus estimator for all loci-1 (to compute jackknife estimators in other routines)*/
 		/**/	if(JKl && m>1)for(l=1;l<=m;l++){
-					if(corrSlij[Erela][0][i][j]!=(float)MISSVAL && corrSlij[Erela][l][i][j]!=(float)MISSVAL && (vart-varkla[k][l][0])){
-						Mori=(corrSlij[Erela][0][i][j]*vart-corrSlij[Erela][l][i][j]*varkla[k][l][0])/(vart-varkla[k][l][0]);
+					if(corrSlij[Erela][0][i][j]!=(float)MISSVAL && corrSlij[Erela][l][i][j]!=(float)MISSVAL && (vart-corrSlij[Erela][l][j][i])){
+						Mori=(corrSlij[Erela][0][i][j]*vart-corrSlij[Erela][l][i][j]*corrSlij[Erela][l][j][i])/(vart-corrSlij[Erela][l][j][i]);
 					}
 					if(corrSlij[Erela][l][i][j]==(float)MISSVAL) Mori=corrSlij[Erela][0][i][j]; 
-					if(vart==varkla[k][l][0]) Mori=(float)MISSVAL;
+					if(vart==corrSlij[Erela][l][j][i]) Mori=(float)MISSVAL;
 					corrSlij[Erela][-l][i][j]=Mori;
 				}
 		
@@ -1830,7 +2443,7 @@ void compute_pairwise_corr_F(int n,int ntot,int Ncat,int *cati,int m,int ndigit,
 				for(j=(i+1);j<=n;j++){
 					if(TypeComp==1)if(cati[i]!=cati[j]) continue;
 					if(TypeComp==2)if(cati[i]==cati[j]) continue;
-					if(FreqRef==1 && cati[i]==cati[j]) k=cati[i];
+					//if(FreqRef==1 && cati[i]==cati[j]) k=cati[i];
 
 					//multilocus estimates
 					MLrli=SumW=0.;
@@ -2211,7 +2824,7 @@ void compute_pairwise_corr_F(int n,int ntot,int Ncat,int *cati,int m,int ndigit,
 /*compute F-stat or R-stat between Npop>2 populations (Npop=# pop, pop1=pop2=0) or just
 2 populations (Npop=2, pop1 & pop2 >0).
 n :					# individuals (total) 
-popi[i] :			no. of the population to which i belongs (popi >0).
+popi[i] :			n° of the population to which i belongs (popi >0).
 m :					# of loci
 Nallelel[l] :		# of alleles at locus l
 gilc[i][l][a] :		allele of ind i at locus l for chromosome a
@@ -2235,18 +2848,18 @@ void compute_F_R_stat(int n,int Npop,int pop1,int pop2,int *popi,int m,int *Nall
 {	
 	int i,p,l,c,a,a1,a2,r,S,linit;	//counters for indv(i=1 to n), pop (p=1 to Npop), loci(l=1 to m), chromosomes (c=0 to ploidyi[i]-1), alleles (a=1 to Nallelel[l], statistic (r=1 to 4)
 	int *Nip,Nipmax;	//# ind in pop i; max # over all pop
-	int **Ncpi,**Ncpi2 = NULL;			//#	chromosomes	with valid gene in ind i from pop  p
-	int *nip = NULL,*nip2 = NULL, nc;		//ind no. in pop p (nip=1-Nip[p]; chromosome no. (nc=1-Ncpi[c][i])
+	int **Ncpi,**Ncpi2=NULL;			//#	chromosomes	with valid gene in ind i from pop  p
+	int *nip,*nip2=NULL, nc;		//ind n° in pop p (nip=1-Nip[p]; chromosome n° (nc=1-Ncpi[c][i])
 	int *ploidyi;
 	int **Nlpa[MMAX];		//# of allele a at locus l in pop p (totals for p=0 and a=0)
-	double ***Gpic,***Gpic2 = NULL;		//value of the gene (indicator variable or allele size or breeding value) on chromosome a from ind i of pop p
+	double ***Gpic,***Gpic2=NULL;		//value of the gene (indicator variable or allele size or breeding value) on chromosome a from ind i of pop p
 	double **NumFlr, **DenFlr, **NumRlr, **DenRlr;	//numerator and denominator for F-stat / R-stat
-	double **NumFpl = NULL, **DenFpl = NULL;	//numerator and denominator for Fi per pop
+	double **NumFpl=NULL, **DenFpl=NULL;	//numerator and denominator for Fi per pop
 	double SS[4],MS[4],s2[4];
 	float **Flr,**Rlr;		//Flr =Fit (r=1), =Fis (r=2), =Fst (r=3), =Rho (r=4); Rlr =Rit (r=1), Ris (r=2), =Rst (r=3)
 	float *Neil,*dm2l;	//Nei and DelaMuSquare distances
 	int nJK;
-	double S1,SS1,S2,SS2,D1,V1,V2,J1[MMAX],J2[MMAX],J12[MMAX],x1,x2,SJ1,SJ2,SJ12;//variables for Nei and Golstein distances
+	double S1,SS1,S2,SS2,D1,V1,V2,*J1,*J2,*J12,x1,x2,SJ1,SJ2,SJ12;//variables for Nei and Golstein distances
 	int nvl = 0;
 
 	//check whether Fstat (i.e. based on indicator variables) are to be computed
@@ -2311,6 +2924,10 @@ void compute_F_R_stat(int n,int Npop,int pop1,int pop2,int *popi,int m,int *Nall
 		Gpic2=d3tensor(0,1,0,Nipmax,0,ploidy);	
 		Ncpi2=imatrix(0,1,0,Nipmax);
 	}
+	J1=dvector(0,m);
+	J2=dvector(0,m);
+	J12=dvector(0,m);
+
 
 	SJ1=SJ2=SJ12=0.;
 	//Define the values for the Nested ANOVA	
@@ -2681,7 +3298,7 @@ void compute_FiPop(int n,int Npop,int *popi,int m,int *Nallelel,
 	int i,i2,p,l,c,a;	//counters for indv(i=1 to n), pop (p=1 to Npop), loci(l=1 to m), chromosomes (c=0 to ploidyi[i]-1), alleles (a=1 to Nallelel[l], statistic (r=1 to 4)
 	int *Nip,Nipmax;	//# ind in pop i; max # over all pop
 	int **Ncpi,**Ncpi2;			//#	chromosomes	with valid gene in ind i from pop  p
-	int *nip,*nip2, nc;		//ind no. in pop p (nip=1-Nip[p]; chromosome no. (nc=1-Ncpi[c][i])
+	int *nip,*nip2, nc;		//ind n° in pop p (nip=1-Nip[p]; chromosome n° (nc=1-Ncpi[c][i])
 	int *ploidyi;
 	int **Nlpa[MMAX];		//# of allele a at locus l in pop p (totals for p=0 and a=0)
 	double ***Gpic,***Gpic2;		//value of the gene (indicator variable or allele size or breeding value) on chromosome a from ind i of pop p
@@ -2834,7 +3451,7 @@ void compute_FiPop(int n,int Npop,int *popi,int m,int *Nallelel,
 	
 /*compute G-stat or N-stat between populations (Npop=# pop, pop1=pop2=0) .
 n :					# individuals (total) 
-popi[i] :			no. of the population to which i belongs (popi >0).
+popi[i] :			n° of the population to which i belongs (popi >0).
 m :					# of loci
 Nallelel[l] :		# of alleles at locus l
 gilc[i][l][a] :		allele of ind i at locus l for chromosome a
@@ -2863,7 +3480,7 @@ void compute_G_N_stat(int n,int Npop,int pop1,int pop2,int *popi,int m,int *Nall
 	float **Glr;		//=Git (r=1), =Gis (r=2), =Gst (r=3) 
 	float **Nlr;		//=Nit (r=1), Nis (r=2), =Nst (r=3)
 	double ***DivNlp1p2,***DivGlp1p2,**DivNrefp1p2,**DivGrefp1p2; //diversity estimates	per pair of pop
-	double DivNwl[MMAX],DivGwl[MMAX],DivNtl[MMAX],DivGtl[MMAX];//diversity within pop and total
+	double *DivNwl,*DivGwl,*DivNtl,*DivGtl;//diversity within pop and total
 	double ***Nlp1p2,***Glp1p2,***Nstlp1p2,***Gstlp1p2;		//Nij, Gij, and pairwise Nst and Gst values per pop pair
 	int Nvalpop,Nvalloc;
 	int nJK;
@@ -2916,6 +3533,11 @@ void compute_G_N_stat(int n,int Npop,int pop1,int pop2,int *popi,int m,int *Nall
 	DivGlp1p2=d3tensor(0,m,0,Npop,0,Npop);
 	DivNrefp1p2=dmatrix(0,Npop,0,Npop);
 	DivGrefp1p2=dmatrix(0,Npop,0,Npop);
+	DivNwl=dvector(0,m);
+	DivGwl=dvector(0,m);
+	DivNtl=dvector(0,m);
+	DivGtl=dvector(0,m);
+
 
 	for(l=1;l<=m;l++){
 		//diversity btw each pair of pop, including within each pop
@@ -3635,7 +4257,7 @@ void compute_corr_per_dist_class (int n,int m,int nc,double *maxc,int Ncat,int *
 			if(Mdij[0][0]!=1.)if((xi[i]==xi[j]) && (yi[i]==yi[j]) && (zi[i]==zi[j])) dij=0.;
 
 		
- 			if(StatType==1 && Mdij[0][0]<=0 && (sgi[i]==sgi[j])) {c=1; dij=-1.;}	/*intra-group class*/
+ 			if(StatType==1 && Mdij[0][0]<=0 && (sgi[i]==sgi[j])) {c=1; /*dij=-1.;*/}	/*intra-group class*/
 			else{c=1; while(dij>maxc[c] && c<=nc) c++;}
 
 			//get residuals
@@ -3680,13 +4302,14 @@ void compute_corr_per_dist_class (int n,int m,int nc,double *maxc,int Ncat,int *
 /*************************************************************************************/
 void inter_locus_corr(int n,int m,float ***corrlij,float **Rll,float **V,float *R2pl,long *seed)
 {
-	int i,j,l,l1,l2,Ncomp,Nlcomp[MMAX],nJK;
+	int i,j,l,l1,l2,Ncomp,*Nlcomp,nJK;
 	double SSl1,SSl2,Sl1,Sl2,SP,Vl1,Vl2,Cov,Cor;
 	double *Sp,***Sl,*S,*T,*SCEl,*SCEp,*SCEt,*SCEe,*SCEr,*CMl,*CMp,*CMe,*CMr,*Ve,*Vl,*Vp1,*Vp2,*Rl1,*Rl2;
 
 	int *shufl,ljk,nrand,Nrand,NRand;
 	double mean,mean1,mean2,sw1,sw2;
 
+	Nlcomp=ivector(0,m);
 	
 	for(l=0;l<=m;l++) {
 		Nlcomp[l]=0;
@@ -3860,7 +4483,7 @@ void inter_locus_corr(int n,int m,float ***corrlij,float **Rll,float **V,float *
 
 
 
-	//ANOVA2 at 1obs
+	//ANOVA2 à 1obs
 /**/	Sl=d3tensor(0,n,0,n,-m,m);
 	Sp=dvector(-m,m);
 	S=dvector(-m,m);
@@ -3947,7 +4570,7 @@ void inter_locus_corr(int n,int m,float ***corrlij,float **Rll,float **V,float *
 	}
 
 
-	//ANOVA1 at m obs
+	//ANOVA1 à m obs
 	SCEr[0]=SCEt[0]-SCEp[0];
 	CMr[0]=SCEr[0]/((m-1)*n*(n-1.)/2.);
 	Vp1[0]=(CMp[0]-CMr[0])/m;
@@ -3962,7 +4585,7 @@ void inter_locus_corr(int n,int m,float ***corrlij,float **Rll,float **V,float *
 	}
 
 	//jackknife
-	nJK=0;
+	//nJK=0;
 //	for(l=1;l<=m;l++) if(Rll[0][l]!=(float)MISSVAL) nJK++;
 	nJK=m;
 
@@ -4110,6 +4733,8 @@ void estimate_sigma_2D_kinship (int n,int m,double *xi,double *yi,double *zi,dou
 			}
 			else b=MISSVAL;
 
+			Nb[niter]=MISSVAL;
+			sigmaest[niter]=MISSVAL;
 			if(Stat==1 || Stat==2 || Stat==11){ //for kinship estimators
 				if(b<0. && b!=MISSVAL){
 				//	Nb[niter]=1./(  (corrlc[l][cneighb]-1.)/b  );
@@ -4516,7 +5141,7 @@ void permut_locations_of_groups_within_cat
 	(int n,int *cati,int Ncat,double *x,double *y,double *z,double **Mdij,int *groupi,
 	double *xmix,double *ymix,double *zmix,double **Mdijmix,long *seed)
 {
-	int i,i2,k,*loci;
+	int i,j,i2,j2,k,*loci;
 	int *locg,*group,newgroup,ng,g;
 
 	loci=ivector(0,n);
diff --git a/src/Autoccomp.h b/src/Autoccomp.h
index 02a234d..4e4249b 100644
--- a/src/Autoccomp.h
+++ b/src/Autoccomp.h
@@ -19,11 +19,17 @@
 #ifndef AUTOCCOMP_H
 #define AUTOCCOMP_H
 
+#ifdef PACKAGE_STRING
+#	define VERSION PACKAGE_STRING
+#else
+#	define  VERSION "SPAGeDi 1.5d (build 02-06-2017)"
+#endif
+
 #define  NMAX 100000	/*max number of individuals*/
 #define  NCOORDMAX 3    /*max number of spatial coordinates*/
-#define  MMAX 10000    /*max number of loci or variables*/
+#define  MMAX 100000    /*max number of loci or variables*/
 #define  NDIGITMAX 3    /*max number of digits per allele*/
-#define  PLOIDYMAX 8    /*max number of alleles per individual*/
+#define  PLOIDYMAX 20    /*max number of alleles per individual*/
 #define  MAXALLID 999 /*max number of alleles per locus*/
 #define  MAXNOM 31  /*max number of characters read for individual names*/
 #define  MAXINTERVALS 102	/*max number of classes of intervals*/
@@ -55,7 +61,7 @@ void mainAnalysisBtwInd(int argc,int n,int ntot,double *xi,double *yi,double *zi
 	int *catskg,int *cati,int Ncat,int *Nik,int nc,double *maxc,float dijmin,float dijmax,
 	int m,int ndigit,int ploidy,int *ploidyi,int *Nallelel,int **Nallelekl,int **Nvalgenkl,int ***gilc,
 	float ***Pkla,int **allelesizela,float **Masizekl,float **Vasizekl,float ***Mgdlaa,float givenF,double *H2,
-	struct name namei[],char namelocus[][MAXNOM],struct name namecat[],
+	struct name namei[],struct name namelocus[],struct name namecat[],
 	int TypeComp,int cat1,int cat2,int FreqRef,float **givenPla,int *Ngivenallelel,int JKest,
 	int NS,int Stat[],int printdistmatrix,float sigmaest,float density,float dwidth,
 	int Npermut[],int permutalleles,int writeresampdistr,int regdetails,int varcoef,int Rbtwloc,
@@ -64,7 +70,7 @@ void mainAnalysisBtwPop(int argc,int StatType,int n,double *xp,double *yp,double
 	int *catp,int *cati,int Ncat,int nc,double *maxc,float dijmin,float dijmax,
 	int m,int ndigit,int ploidy,int *ploidyi,int *Nallelel,int **Nvalgenkl,int ***gilc,
 	float ***Pkla,int **allelesizela,float **Masizekl,float **Vasizekl,float ***Mgdlaa,
-	struct name namepop[],char namelocus[][MAXNOM],struct name namecat[],
+	struct name namepop[],struct name namelocus[],struct name namecat[],
 	int PWstat,int TypeComp,int cat1,int cat2,int FreqRef,int JKest,int NS,int Stat[],int printdistmatrix,
 	int Npermut[],int permutalleles,int writeresampdistr,int regdetails,int varcoef,int Rbtwloc,int permutdetails,char outputfile[]);
 
@@ -89,7 +95,8 @@ void checkdist(int n, int *nc, double *maxc, double *xi, double *yi, double *zi,
 void compute_allele_freq(int n,int Ncat,int *cati,int m,
 			int ndigit,int ploidy,int ***gilc,int *ploidyi,int *Nallelel,int **allelesizela,float ***Mgdlaa,
 			int alleledist,float ***Pkla,int **Nallelekl,int **Nmissinggenotkl,int **Nincompletegenotkl,
-			int **Nvalgenkl,float **Nnielsenkl,float **RA, int *K,float **Hekl,float **hTkl,float **uTkl,float **Dmkl,float **Dwmkl,float **Masizekl,float **Vasizekl);
+			int **Nvalgenkl,float **Nnielsenkl,float **RA, int *K,float **Hokl,float **Hekl,float **hTkl,float **uTkl,float **Dmkl,float **Dwmkl,float **Masizekl,float **Vasizekl);
+void selfing_estimation(int n,int Npop,int *popi,int m,int ploidy,int ***gilc,int *ploidyi,double *alpha,char *outputfilename,struct name namelocus[],struct name namepop[],int Npermut,long *seed);
 void compute_pairwise_corr_F(int n,int ntot,int Ncat,int *cati,int m,int ndigit,int ploidy,
 			float missdat,int ***gilc,int *Nallelel,int **allelesizela,float ***Distla1a2,
 			float ***corrSlij[],int NS,int Stat[12],int FreqRef,float **givenPla,int *Ngivenallelel,
diff --git a/src/Autocio.c b/src/Autocio.c
index b68d71e..c908c6e 100644
--- a/src/Autocio.c
+++ b/src/Autocio.c
@@ -38,8 +38,6 @@
 #include "Xatools.h"
 #include "compat.h"
 
-#include "package.h"
-
 #define write write_string
 
 char errorfile[PATH_MAX] = ERRORTXT;
@@ -130,7 +128,7 @@ void copy_file_name(char *to, const char *from, const char *outdir) {
 
 void get_input_output_file_names(int argc,char *argv[],char inputfile[],char outputfile[],char instrfile[])
 {
-	char smess[PATH_MAX], filename[PATH_MAX], outdir[PATH_MAX];
+	char smess[PATH_MAX], filename[PATH_MAX], outdir[PATH_MAX], ch,*ptr, *ptrt;
 	int check=1;
 	FILE *fp;
 	
@@ -253,10 +251,10 @@ void import_data_file(char *inputfile)
 	int line=0,line3=0,flag;
 	int format,n,i,check;
 	int m=0,Maxallele,ndigit,l;
-	int Npop,npop,nump,pop,labels,numpop[501];
+	int Npop,npop,nump,pop,labels,numpop[501],popi;
 	int genotypel[501];
-	char s[SMAX], *s2,*s3,smess[SMAX],sbis[SMAX];
-	char importfile[50],labelfile[50];
+	char s[SMAX], *s2,*s3,smess[SMAX],sbis[SMAX],*ptr;
+	char ch,importfile[50],labelfile[50];
 	char namelocus[1000][50],popname[501][50],indname[50];
 	double X,Y;
 	FILE *fp,*fp2,*fp3;
@@ -274,14 +272,20 @@ void import_data_file(char *inputfile)
 	while((fp=fopen(importfile,"rt"))==NULL){
 		printf("\nWARNING: Cannot open the file \"%s\".\n  If it is being used by another application, close it first.\n  If it does not exist in the right directory, bring it first and press RETURN.\n  Otherwise enter a new name for the data file to import\n  To stop the programm now, press Ctrl+c.\n",importfile);
 		fgets_chomp(smess, sizeof(smess), stdin);
-		if(smess[0]!='\0') strncpy(importfile,smess,MAXNOM-1);
+		if(smess[0]!='\0') {
+			strncpy(importfile,smess,MAXNOM-1);
+			importfile[MAXNOM-1] = '\0';
+		}
 	}
 
 	/*define the name of the data file in SPAGeDi format*/
 	printf("\nEnter the name of the data file in format SPAGeDi: ");
 	do{
 		fgets_chomp(smess, sizeof(smess), stdin);
-		if(smess[0]!='\0') strncpy(inputfile,smess,MAXNOM-1);
+		if(smess[0]!='\0') {
+			strncpy(inputfile,smess,MAXNOM-1);
+			inputfile[MAXNOM-1] = '\0';
+		}
 //		scanf("%s",inputfile);
 	}while(inputfile[0]=='\0'); 
 	do{
@@ -294,7 +298,11 @@ void import_data_file(char *inputfile)
 			if(!strcmp(smess,"e") || !strcmp(smess,"E")) {
 				if((fp2=fopen(inputfile,"wt"))!=NULL) fclose(fp2);
 			}
-			else {strncpy(inputfile,smess,MAXNOM-1);check=1;}
+			else {
+				strncpy(inputfile,smess,MAXNOM-1);
+				inputfile[MAXNOM-1] = '\0';
+				check=1;
+			}
 		}
 	}while(check);
 
@@ -370,6 +378,7 @@ void import_data_file(char *inputfile)
 		fgets_chomp(smess, sizeof(smess), stdin);
 		if(smess[0]!='\0'){
 			strncpy(labelfile,smess,MAXNOM-1);
+			labelfile[MAXNOM-1] = '\0';
 			while((fp3=fopen(labelfile,"rt"))==NULL){
 				printf("\nWARNING: Cannot open the labels file \"%s\".\nIf it is being used by another application, close it first.\nIf it does not exist in the specified directory, bring it first.\nThen press RETURN.\nPress Ctrl+c twice to stop the programm now.\n",labelfile);
 				wait_a_char();
@@ -441,13 +450,14 @@ void import_data_file(char *inputfile)
 		/*write 2 comment lines*/
 		sprintf(smess,"// Data file in SPAGeDi format imported from file \"%s\" in GENEPOP format",importfile);
 		write_tofile_only(inputfile,smess);
-		sprintf(smess,"\n// %s",s);
+		snprintf(smess,SMAX,"\n// %s",s);
+
 		write_tofile_only(inputfile,smess);
 
 		/*read locus names*/
 		readsfromfile(fp,s,importfile,&line);
 		if(strchr(s,',')){	/*locus names written on a line and separated by comma*/
-			s2=s3=&s[0];
+			s3=&s[0];
 			for(l=1;l<=MMAX;l++){
  				s2=strchr(s3,',');
 				if(s2){
@@ -478,12 +488,14 @@ void import_data_file(char *inputfile)
 				s2=strrchr(smess,',');
 				if(s2) *s2='\0';
 				strncpy(popname[Npop],smess,MAXNOM-1);
+				popname[Npop][MAXNOM-1] = '\0';
 				break;
 			}
 			if(!sscanf(s,"%s",sbis) || !strncmp(s,"POP",3) || !strncmp(s,"Pop",3) || !strncmp(s,"pop",3)){
 				s2=strrchr(smess,',');
 				if(s2) *s2='\0';
 				strncpy(popname[Npop],smess,MAXNOM-1);
+				popname[Npop][MAXNOM-1] = '\0';
 				if(!sscanf(s,"%s",sbis)) break;
 				Npop++;
 			}
@@ -516,6 +528,7 @@ void import_data_file(char *inputfile)
 			*s2='\0';
 			s2++;
 			strncpy(indname,s,MAXNOM-1);
+			indname[MAXNOM-1] = '\0';
 
 			/*get genotypes*/
 			s2=strpbrk(s2,"0123456789");
@@ -561,14 +574,16 @@ void import_data_file(char *inputfile)
 void export_data_file(int StatType,char inputfile[],int n,
 	double *xi,double *yi,double *zi,double *xp,double *yp,double *zp,double **Mdij,
 	int *popi,int Npop,int m,int ndigit,int *Nallelel,int ***gilc,int **allelesizela,
-	struct name namei[],struct name namepop[],char namelocus[][MAXNOM])
+	struct name namei[],struct name namepop[],struct name namelocus[])
 {
-	FILE *fp,*fp2;
+	FILE *fp,*fp2,*fp3;
+	int line=0,line3=0,flag;
 	int format,i,check;
 	int Maxallele,l;
-	int pop;
-	char smess[SMAX];
-	char exportfile[50],labelfile[50];
+	int pop,labels;
+	int genotypel[201];
+	char s[SMAX], *s2,*s3,smess[SMAX],sbis[SMAX];
+	char ch,exportfile[50],labelfile[50];
 
 
 	//export for PATRI
@@ -639,7 +654,7 @@ void export_data_file(int StatType,char inputfile[],int n,
 
 		if(StatType>=2) fprintf(fp,"%i  %i  %i  %i",Npop,m,Maxallele,ndigit);
 		if(StatType==1) fprintf(fp,"1  %i  %i  %i",m,Maxallele,ndigit);
-		for(l=1;l<=m;l++) fprintf(fp,"\n%s",namelocus[l]);
+		for(l=1;l<=m;l++) fprintf(fp,"\n%s",namelocus[l].n);
 
 		for(i=1;i<=n;i++){
 			if(StatType>=2) fprintf(fp,"\n%i ",popi[i]);
@@ -682,7 +697,7 @@ void export_data_file(int StatType,char inputfile[],int n,
 	if(format==1){/*write Genepop data file*/
 
 		fprintf(fp,"Data file imported from \"%s\" (SPAGeDi format)",inputfile);
-		for(l=1;l<=m;l++) fprintf(fp,"\n%s",namelocus[l]);
+		for(l=1;l<=m;l++) fprintf(fp,"\n%s",namelocus[l].n);
 
 		if(StatType>=2) for(pop=1;pop<=Npop;pop++){
 			fprintf(fp,"\nPop");
@@ -706,13 +721,11 @@ void export_data_file(int StatType,char inputfile[],int n,
 	fclose(fp);
 }
 /*************************************************************************************/
-void readbasicinfoF(char *inputfile,int *n,int *ncat,int *ncoord,int *mp,int *ndigit,int *ploidy,
-					char catname[MAXNOM],char namecoord[] [MAXNOM],char namelocusp[] [MAXNOM],
-					int *nc,double *maxc)
+void readbasicinfoF(char *inputfile,int *n,int *ncat,int *ncoord,int *mp,int *ndigit,int *ploidy,int *nc,double *maxc)
 {
 	FILE *fp;
 	int i,flag;
-	char *s, *s2,smess[SMAX];
+	char *s, *s2,smess[SMAX],ch;
 	int line=0;
 
 	s=cvector(0,SMAX2);
@@ -802,22 +815,6 @@ void readbasicinfoF(char *inputfile,int *n,int *ncat,int *ncoord,int *mp,int *nd
  		}  /*end of for, loop for max values of intervals*/
 	}
 
-	readsfromfile(fp,s,inputfile,&line);	/*read third non comment line*/
-	while(strncmp(s,"/*",2)==0 || strncmp(s,"//",2)==0 || s[0]=='"' || sscanf(s,"%s",smess)<1) readsfromfile(fp,s,inputfile,&line);  /*skip over lines beggining with comments   */
-
-	s2=&s[0];
-	if(*ncat){
-		s2=nexttab(s2,inputfile,line);
-		readsfromstring(s2,catname,MAXNOM-1,inputfile,line);
-	}
-	for(i=1;i<=abs(*ncoord);i++) {
-		s2=nexttab(s2,inputfile,line);
-		readsfromstring(s2,namecoord[i],MAXNOM-1,inputfile,line);
- 	}  /*end of for, loop for loci names*/
-	for(i=1;i<=*mp;i++) {
-		s2=nexttab(s2,inputfile,line);
-		readsfromstring(s2,namelocusp[i],MAXNOM-1,inputfile,line);
- 	}  /*end of for, loop for loci names*/
 
 	fclose(fp);
 
@@ -826,15 +823,16 @@ void readbasicinfoF(char *inputfile,int *n,int *ncat,int *ncoord,int *mp,int *nd
 
 /***********************************************************************/
 
-void readsecondinfoF(char *inputfile,int n,struct name namei[],int Ncat,struct name namecat[],
+void readsecondinfoF(char *inputfile,int n,struct name namei[],char catname[MAXNOM],char namecoord[][MAXNOM],
+					 int Ncat,struct name namecat[],struct name namelocus[],
 					 struct name namecati[],int *cati,int ncoord,double *xi,double *yi,double *zi,
 					 int m,int ndigit,int ploidy,int ***gilc,int *Nallelel,int **allelesizela,
-					 int *ploidyi,int Nip[],double *H2)
+					 int *ploidyi,int Nip[],double *H2,double *alpha)
 {
 	FILE *fp;
-	int c,i,l,line=0,z,k,g;
+	int c,i,l,line=0,z,ncatobs,newcat,k,g,nsg;
 	int gentemp,maxploidy,ploidyl;
-	char *s, *s2,smess[SMAX],*ptr;
+	char *s, *s2,smess[SMAX],ch,*ptr;
 	char newind[SMAX];
 	int nallele,ok,coordproblem=0;
 	float allelesizea[1000];
@@ -847,14 +845,32 @@ void readsecondinfoF(char *inputfile,int n,struct name namei[],int Ncat,struct n
 		wait_a_char();
 	}
 
-	/*skip over 3 first non comment lines*/
-	for(i=0;i<3;i++){
+	/*skip over 2 first non comment lines*/
+	for(i=0;i<2;i++){
 		readsfromfile(fp,s,inputfile,&line);  
 		while(strncmp(s,"/*",2)==0 || strncmp(s,"//",2)==0 || s[0]=='"' || sscanf(s,"%s",smess)<1) readsfromfile(fp,s,inputfile,&line);  /*skip over lines beggining with comments   */
 	}
 
+	readsfromfile2(fp,s,inputfile,&line);	/*read third non comment line*/
+	while(strncmp(s,"/*",2)==0 || strncmp(s,"//",2)==0 || s[0]=='"' || sscanf(s,"%s",smess)<1) readsfromfile(fp,s,inputfile,&line);  /*skip over lines beggining with comments   */
+
+	s2=&s[0];
+	if(Ncat){
+		s2=nexttab(s2,inputfile,line);
+		readsfromstring(s2,catname,MAXNOM-1,inputfile,line);
+	}
+	for(i=1;i<=abs(ncoord);i++) {
+		s2=nexttab(s2,inputfile,line);
+		readsfromstring(s2,namecoord[i],MAXNOM-1,inputfile,line);
+ 	}  /*end of for, loop for loci names*/
+	for(i=1;i<=m;i++) {
+		s2=nexttab(s2,inputfile,line);
+		readsfromstring(s2,namelocus[i].n,MAXNOM-1,inputfile,line);
+ 	}  /*end of for, loop for loci names*/
+
+
 	for(i=1;i<=n;i++) {  /*loop over total number of individuals in data file*/
-		readsfromfile(fp,s,inputfile,&line);  /*read next line*/
+		readsfromfile2(fp,s,inputfile,&line);  /*read next line*/
 		while(strncmp(s,"/*",2)==0 || strncmp(s,"//",2)==0 || s[0]=='"' || sscanf(s,"%s",smess)<1) readsfromfile(fp,s,inputfile,&line);  /*skip over lines beggining with comments   */
 		s2=&s[0];  
 
@@ -872,7 +888,10 @@ void readsecondinfoF(char *inputfile,int n,struct name namei[],int Ncat,struct n
 			printf("\nCheck in file %s the list of individuals successfully found.\nPress any key to stop the program.",ERRORFILE);
 			wait_a_char();exit(1);					
 		} 
-		else strncpy(namei[i].n,newind,MAXNOM-1);
+		else {
+			strncpy(namei[i].n,newind,MAXNOM-1);
+			namei[i].n[MAXNOM-1] = '\0';
+		}
 		
 		/*read indiv category*/
 		if(Ncat){  
@@ -974,20 +993,46 @@ void readsecondinfoF(char *inputfile,int n,struct name namei[],int Ncat,struct n
 		wait_a_char();exit(1);
 	}
 
-	if(ndigit<=0){ //read H2 values (broad-sense heritability) per locus in case of dominant markers
-		readsfromfile(fp,s,inputfile,&line);  /*read next line*/
-		while(strncmp(s,"/*",2)==0 || strncmp(s,"//",2)==0 || s[0]=='"' || sscanf(s,"%s",smess)<1) readsfromfile(fp,s,inputfile,&line);  /*skip over lines beggining with comment   */
-		if(strncmp(s,"H2",2)==0){
-			s2=&s[0];
-			for(l=1;l<=m;l++) {
-				s2=nexttab(s2,inputfile,line);
-				readdoublefromstring(s2,&H2[l],inputfile,line);
+	//read H2 values (broad-sense heritability) per locus in case of dominant markers
+	if(ndigit<=0){ 
+		for(l=1;l<=m;l++) H2[l]=1.;
+		if(fgets(s,SMAX,fp)){
+			line++;
+			//readsfromfile(fp,s,inputfile,&line);  /*read next line*/
+			while(strncmp(s,"/*",2)==0 || strncmp(s,"//",2)==0 || s[0]=='"' || sscanf(s,"%s",smess)<1) readsfromfile(fp,s,inputfile,&line);  /*skip over lines beggining with comment   */
+			if(strncmp(s,"H2",2)==0){
+				s2=&s[0];
+				s2=strchr(s2,'\t')+1;
+				while(s2[0]=='\t') s2=strchr(s2,'\t')+1;
+				s2--;
+				for(l=1;l<=m;l++) {
+					s2=nexttab(s2,inputfile,line);
+					readdoublefromstring(s2,&H2[l],inputfile,line);
+				}
 			}
 		}
-		else for(l=1;l<=m;l++) H2[l]=1.;
 	}
 				
-
+	//read double reduction rate values per locus in case of polyploid
+	if(ploidy>2){ 
+		for(l=1;l<=m;l++) alpha[l]=0.;
+		if(fgets(s,SMAX,fp)){
+			line++;
+			//readsfromfile(fp,s,inputfile,&line);  /*read next line*/
+			while(strncmp(s,"/*",2)==0 || strncmp(s,"//",2)==0 || s[0]=='"' || sscanf(s,"%s",smess)<1) readsfromfile(fp,s,inputfile,&line);  /*skip over lines beggining with comment   */
+			if(strncmp(s,"ALPHA",5)==0){
+				s2=&s[0];
+				s2=strchr(s2,'\t')+1;
+				while(s2[0]=='\t') s2=strchr(s2,'\t')+1;
+				s2--;
+				for(l=1;l<=m;l++) {
+					s2=nexttab(s2,inputfile,line);
+					readdoublefromstring(s2,&alpha[l],inputfile,line);
+				}
+			}
+		}
+	}
+	
 
 
 
@@ -1051,12 +1096,13 @@ void readsecondinfoF(char *inputfile,int n,struct name namei[],int Ncat,struct n
 
 void displaybasicinfoF(int argc,char *inputfilename,char *outputfilename,
 					int n,int Ncat,int *Nik,int ncoord,int m,int ndigit,
-					int ploidy,int *ploidyi,int Nip[],char namelocus[] [MAXNOM],
+					int ploidy,int *ploidyi,int Nip[],struct name namelocus[],
 					char namecoord[] [MAXNOM],struct name *namecat,
 					int nc,double *maxc,int Nsg,int *Nig,int Nskg,int *Niskg)
 {
 	int i,k,g,p;
 	int Nikmin,Nikmax,Nigmin,Nigmax,Niskgmin,Niskgmax,Nk1i,Ng1i,Nskg1i;
+	char ch;
 	char smess[SMAX];
 	FILE *fp;
 
@@ -1120,10 +1166,16 @@ void displaybasicinfoF(int argc,char *inputfilename,char *outputfilename,
 		sprintf(smess,", %s",namecoord[i]);
 		write(outputfilename,smess);
 	}
-	sprintf(smess,"\n%i loci: %s",m,namelocus[1]);
+	sprintf(smess,"\n%i loci: %s",m,namelocus[1].n);
 	write(outputfilename,smess);
-	for(i=2;i<=m;i++) {
-		sprintf(smess,", %s",namelocus[i]);
+	if(m<=100){
+		for(i=2;i<=m;i++) {
+			sprintf(smess,", %s",namelocus[i].n);
+			write(outputfilename,smess);
+		}
+	}
+	else{
+		sprintf(smess,",....... , %s",namelocus[m].n);
 		write(outputfilename,smess);
 	}
 	if(ndigit>0) sprintf(smess,"\n%i digits per allele",ndigit);
@@ -1139,7 +1191,7 @@ void displaybasicinfoF(int argc,char *inputfilename,char *outputfilename,
 	}
 	if(Nip[0]){	sprintf(smess,"\n  WARNING: There is(are) %i individual(s) without genotype at any locus",Nip[0]);write(outputfilename,smess); }
 	if(ndigit>0)if(Nip[ploidy+1]){	
-		sprintf(smess,"\n  WARNING: There is(are) %i individual(s) showing different ploidy levels according to the locus: indiv no. ",Nip[ploidy+1]);
+		sprintf(smess,"\n  WARNING: There is(are) %i individual(s) showing different ploidy levels according to the locus: indiv no ",Nip[ploidy+1]);
 		write(outputfilename,smess); 
 		for(i=1;i<=n;i++) if(ploidyi[i]==(ploidy+1)){sprintf(smess,"%i  ",i); write(outputfilename,smess);}
 		sprintf(smess,"\nYou must first resolve this problem. Note that 0's representing missing alleles of incomplete genotypes must be on the RIGHT, whereas 0's representing no information for individuals with a ploidy level inferior to that announced must be on the LEFT.\nPress any key to stop the program now.");
@@ -1188,13 +1240,16 @@ void displaybasicinfoF(int argc,char *inputfilename,char *outputfilename,
 void define_analysisF(int argc,char *instrfile,int n,int ploidy,int ndigit,int m,int Ncat,int Nsg,int Nskg,int ncoord,
 					  int *StatType,int *NS,int Stat[],int *TypeComp,int *cat1,int *cat2,
 					  struct name *namecat,int *FreqRef,float *givenF,int *writeallelefreq,int *JKest,int *distmatrix,int Npermut[],
-					  float *dijmin,float *dijmax,int *writeresampdistr,int *regdetails,int *varcoef,int *Rbtwloc,float *sigmaest,float *density,float *dwidth,
+					  float *dijmin,float *dijmax,int *writeresampdistr,int *regdetails,int *varcoef,int *Rbtwloc,int *estselfing,float *sigmaest,float *density,float *dwidth,
 					  int *permutdetails,int *distm,char *inputfilename,char *distfilename,char *freqfilename,int *K,int *definealleledist,char *alleledistfilename,
 					  int *export,long *seed)
 {
 	char ch,smess[SMAX];
 	int stats,k,k2,Noptions,ok,otherstat=0,S;
-	int permutloc=1,permutind=0,permutgenes=0,permutalleles=0,permutgil,reffreqpossible=0;
+	int permutloc=1,permutind=0,permutgenes=0,permutalleles=0,permutgil,reffreqpossible=0,MoransI=0;
+	float ram;
+
+	FILE *stream;
 
 	// Reassign "stdin" (=console) to the instruction file (instrfile) to read options from that file 
 //	if(argc>=4) stream = freopen(instrfile, "r", stdin);
@@ -1241,14 +1296,17 @@ void define_analysisF(int argc,char *instrfile,int n,int ploidy,int ndigit,int m
 					printf("\n   9- FRATERNITY coefficient ('delta' in Wang, 2002)");
 				}
 				if(ploidy>1) printf("\n   A- Aij: Rousset's distance ('a' in Rousset, 2000)");
+				printf("\n   Q- Qij: proportion of identical alleles");
 				printf("\n\n Statistic based on allele size (cf. microsatellites) :");
 				printf("\n   R- Rij: Allele size correlation coefficient (I' in Streiff et al., 1998)");
 				printf("\n\n Statistics based on distances between alleles (matrix to define) :");
 				printf("\n   N- Nij: kinship coefficient for ordered alleles (OJ Hardy, unpublished)");
+				printf("\n\n   0- no pairwise statistics");
 			}
 			else{//dominant marker
 				printf("\n\n 1- KINSHIP coefficient for dominant marker in diploids (Hardy, 2003)");
 				printf("\n\n 2- RELATIONSHIP coefficient for dominant marker in diploids (Hardy, 2003)");
+				printf("\n\n 0- no pairwise statistics");
 			}
 //			if(Ncat>0 || Nsg>1) printf("\n\nEnter 'R' to return to the first menu");
 			printf("\n");
@@ -1258,11 +1316,12 @@ void define_analysisF(int argc,char *instrfile,int n,int ploidy,int ndigit,int m
 //				if(smess[0]=='r' || smess[0]=='R')  goto startagain;
 				(*NS)=strlen(smess);
 			}while(smess[0]=='\0' || *NS>11 || *NS<1);
-
+			
+			MoransI=0;
 			for(k=1;k<=(*NS);k++){
 				if(smess[k-1]=='1') Stat[k]=1;
 				else if(smess[k-1]=='2') Stat[k]=2;
-				else if(smess[k-1]=='3') Stat[k]=3;
+				else if(smess[k-1]=='3') {Stat[k]=3; MoransI=1;}
 				else if(smess[k-1]=='4') Stat[k]=8;
 				else if(smess[k-1]=='5') Stat[k]=6;
 				else if(smess[k-1]=='6') Stat[k]=9;
@@ -1270,6 +1329,7 @@ void define_analysisF(int argc,char *instrfile,int n,int ploidy,int ndigit,int m
 				else if(smess[k-1]=='8') Stat[k]=7;
 				else if(smess[k-1]=='9') Stat[k]=10;
 				else if(smess[k-1]=='A' || smess[k]=='a') Stat[k]=4;
+				else if(smess[k-1]=='Q' || smess[k]=='q') Stat[k]=15;
 				else if(smess[k-1]=='R' || smess[k]=='r') Stat[k]=5;
 				else if(smess[k-1]=='N' || smess[k]=='n') {Stat[k]=14; *definealleledist=1;}
 				else Stat[k]=0;
@@ -1280,15 +1340,15 @@ void define_analysisF(int argc,char *instrfile,int n,int ploidy,int ndigit,int m
 			}									  
 
 			/*remove stat not allowed*/
-			for(k=1;k<=(*NS);k++)if(Stat[k]<1 || Stat[k]>14 || (ploidy==1 && Stat[k]==4) || (ploidy!=2 && (Stat[k]==6 || Stat[k]==7 || Stat[k]==8 || Stat[k]==9 || Stat[k]==10 || Stat[k]==13)) || (ndigit<=0 && (Stat[k]>12 || Stat[k]<11))){
+			for(k=1;k<=(*NS);k++)if(Stat[k]<1 || Stat[k]>15 || (ploidy==1 && Stat[k]==4) || (ploidy!=2 && (Stat[k]==6 || Stat[k]==7 || Stat[k]==8 || Stat[k]==9 || Stat[k]==10 || Stat[k]==13)) || (ndigit<=0 && (Stat[k]>12 || Stat[k]<11))){
 				(*NS)--;
 				for(k2=k;k2<=(*NS);k2++) Stat[k2]=Stat[k2+1];
 			}
-		}while((*NS)<1);
+		}while((*NS)< /*1*/ 0);
 
 		permutgenes=permutalleles=permutind=reffreqpossible=0;
 		permutloc=1;
-		if(ploidy>1 && ndigit>0)for(k=1;k<=(*NS);k++)if(Stat[k]==1 || Stat[k]==2 || Stat[k]==5) permutgenes=1;
+		if(ploidy>1 && ndigit>0)/*for(k=1;k<=(*NS);k++)if(Stat[k]==1 || Stat[k]==2 || Stat[k]==5)*/ permutgenes=1;
 		for(k=1;k<=(*NS);k++)if(Stat[k]==5 || Stat[k]==14) permutalleles=1;
 		if(Nsg>1) permutind=1;
 		for(k=1;k<=(*NS);k++)if(Stat[k]==1 || Stat[k]==2 || Stat[k]==5 || Stat[k]==6 || Stat[k]==7 || Stat[k]==8 || Stat[k]==9 || Stat[k]==10 || Stat[k]==11 || Stat[k]==12 || Stat[k]==13) reffreqpossible=1;
@@ -1319,14 +1379,16 @@ void define_analysisF(int argc,char *instrfile,int n,int ploidy,int ndigit,int m
 			printf("\n\n Statistics based on distances between alleles (matrix to define) :");
 			printf("\n\n   8- global Nst and pairwise Nst  (Pons & Petit 1996)");
 			printf("\n   9- global Nst and pairwise Nij  (OJ Hardy, unpubl)");
-			printf("\n\nEnter 'R' to return to the first menu\n\n");   
+			printf("\n\n   0- no pairwise statistics");
+			printf("\n\nEnter 'R' to return to the first menu\n");   
 
 			do{	
 				fgets_chomp(smess, sizeof(smess), stdin);
 				if(smess[0]=='r' || smess[0]=='R')  goto startagain;
 				ok=sscanf(smess,"%i",&stats);
 				(*NS)=1+(int)log10(stats);
-			}while(ok!=1 || *NS>9 || *NS<1);
+				if(smess[0]=='0') (*NS)=0;
+			}while(ok!=1 || *NS>9   || *NS< 0/*1*/  );
 
 			/*Chosen statistics, put in Stat[k] with k=1 to #different stat*/
 			for(k=(*NS);k>0;k--){
@@ -1348,7 +1410,7 @@ void define_analysisF(int argc,char *instrfile,int n,int ploidy,int ndigit,int m
 			}
 
 
-		}while((*NS)<1);
+		}while((*NS)</*1*/0);
 
 		permutalleles=permutgenes=0;
 		permutind=permutloc=1;
@@ -1368,8 +1430,8 @@ void define_analysisF(int argc,char *instrfile,int n,int ploidy,int ndigit,int m
 	(*JKest)=Npermut[0]=(*distm)=(*TypeComp)=0;
 	(*dijmin)=(*dijmax)=0.0f;
 	printf("\n\n\n\n\n\n\n\nCOMPUTATIONAL OPTIONS\n\nSelect among the following options (you can select several) or press RETURN :");
-	printf("\n\n 1- Use a matrix to define pairwise spatial distances");
-	printf("\n\n 2- Make restricted regression analyses (i.e. over limited distance range)");
+	if((*NS)>0)printf("\n\n 1- Use a matrix to define pairwise spatial distances");
+	if((*NS)>0)printf("\n\n 2- Make restricted regression analyses (i.e. over limited distance range)");
 	printf("\n\n 3- Make permutation tests");
 	if(m>1) printf("\n\n 4- Jackknife over loci");
 	if(Ncat>1 && (*StatType==1 || *StatType==4)) printf("\n\n 5- Restrict pairwise comparisons within or among (selected) categories");
@@ -1462,7 +1524,7 @@ void define_analysisF(int argc,char *instrfile,int n,int ploidy,int ndigit,int m
 			printf("\n\nSelect the reference allele frequencies to compute pairwise statistics:");
 			printf("\n\n 1- whole sample (enter '1' or press RETURN)");
 			printf("\n\n 2- unweighted average allele frequencies over categories (enter '2')\n");
-			if(*TypeComp==1) printf("\n 3- sample within category (enter '3')\n");
+			if(*TypeComp==1 || MoransI) printf("\n 3- sample within category (enter '3')\n");
 			fgets_chomp(smess, sizeof(smess), stdin);
 			if(smess[0]=='2') *FreqRef=-2;
 			else if(smess[0]=='3') *FreqRef=1;
@@ -1473,7 +1535,7 @@ void define_analysisF(int argc,char *instrfile,int n,int ploidy,int ndigit,int m
 	
 	
 	/*if no pairwise dist computable, ask again*/
- 	if(!ncoord && !(*distm)){
+ 	if(!ncoord && !(*distm) && (*NS)>0){
 		printf("\n\n\nWARNING: There is no spatial coordinates in the data file. \nPress RETURN to go on without spatial information \nor enter the name of the file containing pairwise distances: ");
 		fgets_chomp(smess, sizeof(smess), stdin);
 		if(smess[0]!='\0'){
@@ -1517,7 +1579,7 @@ void define_analysisF(int argc,char *instrfile,int n,int ploidy,int ndigit,int m
 	/*define parameters for permutation tests*/
 	(*writeresampdistr)=*permutdetails=*seed=0;
 	if(Npermut[0]){
-		printf("\n\n\n\n\n\n\n\nPERMUTATION OPTIONS\n\nSelect among the following options (you can select several) or press RETURN");
+		if((*NS)>0) printf("\n\n\n\n\n\n\n\nPERMUTATION OPTIONS\n\nSelect among the following options (you can select several) or press RETURN");
 		
 		if(permutalleles){
 //			printf("\n\n 1- Tests of genetic structuring (permuting gene copies, individuals and/or locations)");
@@ -1541,33 +1603,34 @@ void define_analysisF(int argc,char *instrfile,int n,int ploidy,int ndigit,int m
   		}
 		else permutgil=1;
 
-		if(permutgil==0) permutloc=permutind=permutgenes=0;
+		if(permutgil==0) permutloc=permutind=/*permutgenes=*/0;
 		*permutdetails=2;
 
-		if(permutalleles)printf("\n\nSelect among the following additional options (you can select several) or press RETURN");
-		printf("\n\n 1- Report only P-values (otherwise details of permutation tests are reported)");
-		if(permutgil) printf("\n\n 2- Define # of permutations for each randomised unit (otherwise same #)");
-		printf("\n\n 3- Initialise random number generator (otherwise initialisation on clock)");
-		if(*StatType>=2) printf("\n\n 4- Perform tests of genetic differentiation on each population pair\n\n");
-		else printf("\n\n");
+		if((*NS)>0){
+			if(permutalleles)printf("\n\nSelect among the following additional options (you can select several) or press RETURN");
+			printf("\n\n 1- Report only P-values (otherwise details of permutation tests are reported)");
+			if(permutgil) printf("\n\n 2- Define # of permutations for each randomised unit (otherwise same #)");
+			printf("\n\n 3- Initialise random number generator (otherwise initialisation on clock)");
+			if(*StatType>=2) printf("\n\n 4- Perform tests of genetic differentiation on each population pair\n\n");
+			else printf("\n\n");
 
-		fgets_chomp(smess, sizeof(smess), stdin);
-		if(smess[0]!='\0'){	
-			sscanf(smess,"%i",&stats);
-			Noptions=1+(int)log10(stats);
-			for(k=1;k<=Noptions;k++){
-				if(stats%10==1) *permutdetails=0;
-				if(stats%10==2 && permutgil) Npermut[0]=2;
-				if(stats%10==3) *seed=1;
-				if(stats%10==4){
-					if(permutalleles) permutalleles=2;
-					if(permutgil) permutgil=2;
+			fgets_chomp(smess, sizeof(smess), stdin);
+			if(smess[0]!='\0'){	
+				sscanf(smess,"%i",&stats);
+				Noptions=1+(int)log10(stats);
+				for(k=1;k<=Noptions;k++){
+					if(stats%10==1) *permutdetails=0;
+					if(stats%10==2 && permutgil) Npermut[0]=2;
+					if(stats%10==3) *seed=1;
+					if(stats%10==4){
+						if(permutalleles) permutalleles=2;
+						if(permutgil) permutgil=2;
+					}
+					stats=(int)(stats/10);
 				}
-				stats=(int)(stats/10);
 			}
 		}
 
-
 		/*define # permutations*/
 		if(Npermut[0]==1){
 			do{
@@ -1606,7 +1669,7 @@ void define_analysisF(int argc,char *instrfile,int n,int ploidy,int ndigit,int m
 				printf("\n\nEnter a number for the initial seed: ");
 				fgets_chomp(smess, sizeof(smess), stdin);
 				ok=sscanf(smess,"%li",seed);
-				*seed=abs(*seed)*(-1);
+				*seed=labs(*seed)*(-1);
 			}while(ok!=1);
 		}
 		else{	/*initialisation on local time*/
@@ -1638,8 +1701,9 @@ void define_analysisF(int argc,char *instrfile,int n,int ploidy,int ndigit,int m
 		if((*sigmaest)){ printf("\n\n 6- Estimate gene dispersal sigma"); (*sigmaest)=0.0f;}
 	}
 	if(m>1){
-		printf("\n\n 7- Report actual variance of pairwise genetic coefficients (Ritland 2000)");
-//		printf("\n\n 8- Report inter-locus correlation for pairwise genetic coefficients");
+		if(ploidy>=2)printf("\n\n 7- Estimate selfing rate from standardized identity disequilibrium");
+		printf("\n\n 8- Report actual variance of pairwise genetic coefficients (Ritland 2000)");
+//		printf("\n\n 9- Report inter-locus correlation for pairwise genetic coefficients");
 	}
 
 	printf("\n\nEnter 'R' to return to the first menu\n\n");
@@ -1658,8 +1722,9 @@ void define_analysisF(int argc,char *instrfile,int n,int ploidy,int ndigit,int m
 			if(stats%10==4) (*distmatrix)=1;
 			if(stats%10==5) (*export)=1;
 			if(stats%10==6) (*sigmaest)=1.;
-			if(stats%10==7) (*varcoef)=1;
-			if(stats%10==8) (*Rbtwloc)=1;
+			if(stats%10==7) (*estselfing)=1;
+			if(stats%10==8) (*varcoef)=1;
+			if(stats%10==9) (*Rbtwloc)=1;
 			stats=(int)(stats/10);
 		}
 	}
@@ -1933,7 +1998,7 @@ void read_pairwise_spatial_distances(char *inputfile,char *distfile,int n,
 
 
 void read_pairwise_genetic_distances(char *inputfile,char *distfile,int m,
-		char namelocusp[] [MAXNOM],int *Nallelel,int **allelenamela,float ***Mgdlaa)
+		struct name namelocus[],int *Nallelel,int **allelenamela,float ***Mgdlaa)
 {
 	int a1=0,a2,loc,loc2,line=0;
 	int nameallele,nlocusread,nallelerecogn,nallelegiven;
@@ -1947,10 +2012,10 @@ void read_pairwise_genetic_distances(char *inputfile,char *distfile,int m,
 
 
 	//check that all locus names are different
-	for(loc=1;loc<m;loc++)for(loc2=loc+1;loc2<=m;loc2++)if(!strncmp(namelocusp[loc],namelocusp[loc2],MAXNOM-1)){
+	for(loc=1;loc<m;loc++)for(loc2=loc+1;loc2<=m;loc2++)if(!strncmp(namelocus[loc].n,namelocus[loc2].n,MAXNOM-1)){
 		printf("\n\nWARNING: Not all locus names are different.\nTo define pairwise genetic distances, all locus names must be different.\nCheck in the file \"%s\" the list of names found.\nPress any key to stop the program.",ERRORFILE);
 		for(loc=1;loc<=m;loc++) {
-			sprintf(smess,"\n%s",namelocusp[loc]);
+			sprintf(smess,"\n%s",namelocus[loc].n);
 			write(ERRORFILE,smess);
 		}
 		wait_a_char(); exit(0);
@@ -1983,7 +2048,7 @@ void read_pairwise_genetic_distances(char *inputfile,char *distfile,int m,
 		do{
 			fgets(s,SMAX,fp); line++;
 			if(sscanf(s,"%s",nameloc)>0){
-				for(loc=1;loc<=m;loc++) if(!strncmp(nameloc,namelocusp[loc],MAXNOM-1)) break;
+				for(loc=1;loc<=m;loc++) if(!strncmp(nameloc,namelocus[loc].n,MAXNOM-1)) break;
 			}
 		}while(loc>m && !feof(fp));
 
@@ -2015,7 +2080,7 @@ void read_pairwise_genetic_distances(char *inputfile,char *distfile,int m,
 
 		//check that all alleles from data file were encountered
 		if(nallelerecogn!=Nallelel[loc]){
-			printf("\n\nGenetic distances between alleles at locus \"%s\" in file \"%s\" not found for all alleles given in the data file\nPress any key to stop",namelocusp[loc],distfile);
+			printf("\n\nGenetic distances between alleles at locus \"%s\" in file \"%s\" not found for all alleles given in the data file\nPress any key to stop",namelocus[loc].n,distfile);
 			wait_a_char(); exit(0);
 		}
   
@@ -2025,8 +2090,8 @@ void read_pairwise_genetic_distances(char *inputfile,char *distfile,int m,
 			readsfromfile(fp,s,distfile,&line);
 			while(strncmp(s,"/*",2)==0 || strncmp(s,"//",2)==0 || s[0]=='"' || sscanf(s,"%s",smess)<1) readsfromfile(fp,s,distfile,&line);  /*skip over lines beggining with comments   */
 
-			if(strncmp(s,"END",3)==0 || feof(fp)) {	//if END is encountered or the end of the file
-				printf("\nERROR: END message or end of file encountered after only %d alleles of the genetic distance matrix between alleles at locus \"%s\" from file %s for %d expected\nCheck that you defined a squared matrix with the same orders of alleles in lines and columns\nPress any key to stop the program",a1-1,namelocusp[loc],distfile,nallelegiven);
+			if(strncmp(s,"END",3)==0 || (feof(fp) && l<nallelegiven)) {	//if END is encountered or the end of the file
+				printf("\nERROR: END message or end of file encountered after only %d alleles of the genetic distance matrix between alleles at locus \"%s\" from file %s for %d expected\nCheck that you defined a squared matrix with the same orders of alleles in lines and columns\nPress any key to stop the program",l-1,namelocus[loc].n,distfile,nallelegiven);
 				wait_a_char(); exit(0);					
 			} 
 
@@ -2036,7 +2101,7 @@ void read_pairwise_genetic_distances(char *inputfile,char *distfile,int m,
 			//read allele name and check it is the expected one
 			readintfromstring(s,&nameallele,distfile,line);
 			if(nameallele!=allelenamela[loc][aLine[l]]){
-				printf("\nFATAL ERROR: The line for allele %d of the genetic distance matrix between alleles at locus \"%s\" in file %s was expected to be for allele %d\nCheck that you defined a squared matrix with the same orders of alleles in lines and columns\nPress any key to stop the program",nameallele,namelocusp[loc],distfile,allelenamela[loc][aLine[l]]);
+				printf("\nFATAL ERROR: The line for allele %d of the genetic distance matrix between alleles at locus \"%s\" in file %s was expected to be for allele %d\nCheck that you defined a squared matrix with the same orders of alleles in lines and columns\nPress any key to stop the program",nameallele,namelocus[loc].n,distfile,allelenamela[loc][aLine[l]]);
 				wait_a_char(); exit(0);					
 			} 
 
@@ -2056,19 +2121,19 @@ void read_pairwise_genetic_distances(char *inputfile,char *distfile,int m,
 
 				if(Mgdlaa[loc][a1][a2]==MISSVAL) Mgdlaa[loc][a1][a2]=Mgdlaa[loc][a2][a1]=d;
 				else if(Mgdlaa[loc][a1][a2]!=d){
-					printf("\nERROR: In data for pairwise genetic distances between alleles for locus \"%s\" in file \"%s\", the distance between alleles %d and %d is redefined: first value= %g, second value= %g",namelocusp[loc],distfile,allelenamela[loc][a1],allelenamela[loc][a2],Mgdlaa[loc][a1][a2],d);
+					printf("\nERROR: In data for pairwise genetic distances between alleles for locus \"%s\" in file \"%s\", the distance between alleles %d and %d is redefined: first value= %g, second value= %g",namelocus[loc].n,distfile,allelenamela[loc][a1],allelenamela[loc][a2],Mgdlaa[loc][a1][a2],d);
 					wait_a_char(); exit(0);
 				}
 			}
 		}
 		for(a1=1;a1<Nallelel[loc];a1++)for(a2=a1+1;a2<=Nallelel[loc];a2++) if(Mgdlaa[loc][a1][a2]==MISSVAL){
-			printf("\nERROR: The genetic distance between alleles %d and %d at locus \"%s\" in file \"%s\" was undefined\nPress any key to stop the program",allelenamela[loc][a1],allelenamela[loc][a2],namelocusp[loc],distfile);
+			printf("\nERROR: The genetic distance between alleles %d and %d at locus \"%s\" in file \"%s\" was undefined\nPress any key to stop the program",allelenamela[loc][a1],allelenamela[loc][a2],namelocus[loc].n,distfile);
 			wait_a_char(); exit(0);					
 		} 
 		for(a1=1;a1<=Nallelel[loc];a1++){
 			if(Mgdlaa[loc][a1][a1]==MISSVAL) Mgdlaa[loc][a1][a1]=0.;
 			if(Mgdlaa[loc][a1][a1]!=0.){
-				printf("\nERROR: The genetic distance between allele %d and itself at locus \"%s\" in file \"%s\" was set as %g whereas it must be set as 0 (or undefined)\nPress any key to stop the program",allelenamela[loc][a1],namelocusp[loc],distfile,Mgdlaa[loc][a1][a1]);
+				printf("\nERROR: The genetic distance between allele %d and itself at locus \"%s\" in file \"%s\" was set as %g whereas it must be set as 0 (or undefined)\nPress any key to stop the program",allelenamela[loc][a1],namelocus[loc].n,distfile,Mgdlaa[loc][a1][a1]);
 				wait_a_char(); exit(0);	
 			}
 		} 
@@ -2087,17 +2152,19 @@ void read_pairwise_genetic_distances(char *inputfile,char *distfile,int m,
 }	//end of read_pairwise_genetic_distances
 
 /***************************************************************************/
-void read_allele_frequencies(char *freqfile,int m,char namelocus[][MAXNOM],int *Nallelel,
+void read_allele_frequencies(char *freqfile,int m,struct name namelocus[],int *Nallelel,
 							 int **allelesizela, float **givenPla,int *Ngivenallelel)
 {
-	int line=0,a,allele,allelename,nallelel[MMAX],Nallelemax;
-	int locus[MMAX],loc,loc2,l,Nloc;
+	int line=0,a,allele,allelename,*nallelel,Nallelemax;
+	int *locus,loc,loc2,l,Nloc;
 	int error=0,error1,error2;
 	float freq;
 	char *s,smess[SMAX],locusname[MAXNOM],*s2;
 
 	FILE *fp;
 	s=cvector(0,SMAX2);
+	nallelel=ivector(0,MMAX);
+	locus=ivector(0,MMAX);
 
 
 	printf("\n\nReading reference allele frequencies."); 
@@ -2105,7 +2172,10 @@ void read_allele_frequencies(char *freqfile,int m,char namelocus[][MAXNOM],int *
 	while((fp=fopen(freqfile,"rt"))==NULL){
 		printf("\n\nWARNING: Cannot open reference allele frequency file \"%s\"\n  If it is being used by another application, close it first, then press RETURN\n  Otherwise enter the correct file name\n  Close the window if you wish to stop the program now\n",freqfile);
 		fgets_chomp(smess, sizeof(smess), stdin);
-		if(smess[0]!='\0') strncpy(freqfile,smess,MAXNOM-1);
+		if(smess[0]!='\0') {
+			strncpy(freqfile,smess,MAXNOM-1);
+			freqfile[MAXNOM-1] = '\0';
+		}
 	}
 
 	//read first line with locus names and number of alleles
@@ -2118,20 +2188,20 @@ void read_allele_frequencies(char *freqfile,int m,char namelocus[][MAXNOM],int *
 	while(s2){
 		sscanf(s2,"%s",locusname);
 		loc++;
-		for(l=1;l<=m;l++) if(strcmp(namelocus[l],locusname)==0) break;
+		for(l=1;l<=m;l++) if(strcmp(namelocus[l].n,locusname)==0) break;
 		if((s2=strpbrk(s2,"\t"))){
 			s2++;
 			if(l<=m){sscanf(s2,"%d",&Ngivenallelel[l]); locus[loc]=l;}
 			else locus[loc]=0;
 		}
-		if((s2=strpbrk(s2,"\t"))) s2++;
+		if(s2 != NULL && (s2=strpbrk(s2,"\t"))) s2++;
 	}
 	Nloc=loc;//number of loci in the allele freq file
 
 	//check that all loci of the data file are represented
 	error=0;
 	for(l=1;l<=m;l++) if(Ngivenallelel[l]==0){
-		printf("\nERROR: Reference allele frequencies not given for locus \"%s\".",namelocus[l]);
+		printf("\nERROR: Reference allele frequencies not given for locus \"%s\".",namelocus[l].n);
 //		error=1;
 	}
 	if(error){
@@ -2179,7 +2249,7 @@ void read_allele_frequencies(char *freqfile,int m,char namelocus[][MAXNOM],int *
 		freq=0.;
 		for(a=1;a<=Ngivenallelel[l];a++) freq+=givenPla[l][a];
 		if(freq<0.999 || freq>1.001){
-			printf("\nERROR: Sum of reference allele frequencies for locus \"%s\" different\nfrom one (=%g).",namelocus[l],freq);
+			printf("\nERROR: Sum of reference allele frequencies for locus \"%s\" different\nfrom one (=%g).",namelocus[l].n,freq);
 			error1=1;
 		}
 	}
@@ -2189,7 +2259,7 @@ void read_allele_frequencies(char *freqfile,int m,char namelocus[][MAXNOM],int *
 	for(l=1;l<=m;l++){
 		for(a=1;a<=Nallelel[l];a++) if(givenPla[l][a]==0.){
 			if(error2==0) printf("\nWARNING: the following alleles found in the data file have a zero frequency in the reference allele frequency file. \nThis currently not allowed.");
-			printf("\n\tlocus \"%s\", allele \"%d\"",namelocus[l],allelesizela[l][a]);
+			printf("\n\tlocus \"%s\", allele \"%d\"",namelocus[l].n,allelesizela[l][a]);
 			error2=1;
 		}
 	}
@@ -2203,9 +2273,9 @@ void read_allele_frequencies(char *freqfile,int m,char namelocus[][MAXNOM],int *
 
 
 /**************************************************************************************/
-void write_allele_freq(char *outputfilename,int n,int m,char namelocus[][MAXNOM],int ndigit,int ploidy,
+void write_allele_freq(char *outputfilename,int n,int m,struct name namelocus[],int ndigit,int ploidy,
 		int Npop,int *Nip,struct name namepop[],int StatType,int NS,int Stat[],int **allelesizela,
-		int **Nallelepl,float ***Ppla,float **Nnielsenpl,float **RA, int K,float **Hepl,float **hTpl,float **vTpl,
+		int **Nallelepl,float ***Ppla,float **Nnielsenpl,float **RA, int K,float **Hopl,float **Hepl,float **hTpl,float **vTpl,
 		float **Dmpl,float **Dwmpl,float **Masizepl,float **Vasizepl,int **Nmissinggenotpl,int **Nincompletegenotpl,
 		int **Nvalgenpl,int printallelefreq,int FreqRef,int *Ngivenallelel,float **givenPla,float**Fpl,int Npermut,struct resample_stat_type **r_statFlp)
 {
@@ -2230,7 +2300,7 @@ void write_allele_freq(char *outputfilename,int n,int m,char namelocus[][MAXNOM]
 		if(StatType==1)fprintf(fp,"\nLocus\tCategory");
 		else fprintf(fp,"\nLocus\tPopulation");
 		fprintf(fp,"\tSample size\t# missing genotypes (%%)\t# incomplete genotypes (%%)\t# of defined gene copies\tNA: # alleles\tNAe: Effective # alleles (Nielsen et al. 2003)\tAR(k=%i): Allelic richness (expected number of alleles among %i gene copies)\tHe (gene diversity corrected for sample size, Nei 1978)",K,K);
-		if(ploidy>1){fprintf(fp,"\tFi (individual inbreeding coefficient)");Ntab++;}
+		if(ploidy>1){fprintf(fp,"\tHo (observed heterozygosity)\tFi (individual inbreeding coefficient)");Ntab+=2;}
 		if(Npermut>=40) {fprintf(fp,"\tPval(Fi<>0) after %i randomization of gene copies among individuals",Npermut);Ntab++;}
 		if(StatType>1){
 			Ntab++;
@@ -2243,14 +2313,14 @@ void write_allele_freq(char *outputfilename,int n,int m,char namelocus[][MAXNOM]
 	}
 	else {fprintf(fp,"\nLocus\tCategory\tSample size\t# missing phenotypes (%%)\tFrequency of dominant phenotype"); Ntab=5;}
 
-	strcpy(namelocus[0],"Multilocus average");
+	strcpy(namelocus[0].n,"Multilocus average");
 	for(l=0;l<=m;l++){
 		if(ndigit>0){
 			if(printallelefreq!=0)fprintf(fp,"\n");
-			fprintf(fp,"\n%s",namelocus[l]);
+			fprintf(fp,"\n%s",namelocus[l].n);
 			for(t=1;t<Ntab;t++) fprintf(fp,"\t");
 			if(l && Nvalgenpl[0][l]){
-				fprintf(fp,"\t%s alleles:",namelocus[l]);
+				fprintf(fp,"\t%s alleles:",namelocus[l].n);
 				for(a=1;a<=Nallelepl[0][l];a++) fprintf(fp,"\t%i",allelesizela[l][a]);
 			}
 		}
@@ -2258,11 +2328,11 @@ void write_allele_freq(char *outputfilename,int n,int m,char namelocus[][MAXNOM]
 
 		for(p=0;p<=Npop;p++){
 			if(p==0){
-				if(StatType==1) fprintf(fp,"\n%s\tAll categories confounded\t%i",namelocus[l],Nip[p]);
-				else fprintf(fp,"\n%s\tAll populations confounded\t%i",namelocus[l],Nip[p]);
+				if(StatType==1) fprintf(fp,"\n%s\tAll categories confounded\t%i",namelocus[l].n,Nip[p]);
+				else fprintf(fp,"\n%s\tAll populations confounded\t%i",namelocus[l].n,Nip[p]);
 			}
 			if((printallelefreq==0 || Npop<2) && p>0) break;
-			if(p) fprintf(fp,"\n%s\t%s\t%i",namelocus[l],namepop[p].n,Nip[p]);
+			if(p) fprintf(fp,"\n%s\t%s\t%i",namelocus[l].n,namepop[p].n,Nip[p]);
 
 			if(ndigit>0){
 				if(l) fprintf(fp,"\t%i (%.1f%%)\t%i (%.1f%%)\t%i",Nmissinggenotpl[p][l],(float)(Nmissinggenotpl[p][l]*100./Nip[p]),Nincompletegenotpl[p][l],(float)(Nincompletegenotpl[p][l]*100./Nip[p]),Nvalgenpl[p][l]);
@@ -2288,6 +2358,8 @@ void write_allele_freq(char *outputfilename,int n,int m,char namelocus[][MAXNOM]
 					else fprintf(fp,"\t");
 					fprintf(fp,"\t%.4f",Hepl[p][l]);
 					if(ploidy>1){
+						if(Hopl[p][l]!=MISSVAL) fprintf(fp,"\t%.3f",Hopl[p][l]);
+						else fprintf(fp,"\t");
 						if(Fpl[p][l]!=MISSVAL) fprintf(fp,"\t%.3f",Fpl[p][l]);
 						else fprintf(fp,"\t");
 						if(Npermut>=40){
@@ -2335,7 +2407,7 @@ void write_allele_freq(char *outputfilename,int n,int m,char namelocus[][MAXNOM]
 		fprintf(fp,"\n\nREFERENCE ALLELE FREQUENCIES");
 
 		for(l=1;l<=m;l++){
-			fprintf(fp,"\n%s",namelocus[l]);
+			fprintf(fp,"\n%s",namelocus[l].n);
 			/*write allele names and freq*/
 			if(ndigit>0){
 				for(a=1;a<=Ngivenallelel[l];a++) fprintf(fp,"\t%i",allelesizela[l][a]);
@@ -2355,6 +2427,7 @@ void displaydist(int argc,char *outputfilename,int nc,double *maxc,double *mdc,d
 				 int *npc,float **indexpartic)
 {
 	int c;
+	char ch,smess[SMAX];
 	FILE *fp;
 
 	while((fp=fopen(outputfilename,"a"))==NULL){
@@ -2386,12 +2459,13 @@ void displaydist(int argc,char *outputfilename,int nc,double *maxc,double *mdc,d
 
 /**************************************************************************************/
 
-void writeIndStatresults(char *outputfilename,int n,int Nsg,int m,char namelocus[][MAXNOM],int nc,double *maxc,
+void writeIndStatresults(char *outputfilename,int n,int Nsg,int m,struct name namelocus[],int nc,double *maxc,
 		int *npc,float **indexpartic,double *mdc,double *mlndc,float dijmin,float dijmax,float givenF,double *H2,
 		int TypeComp,int cat1,int cat2,struct name *namecat,int FreqRef,int NS,int Stat[12],float **corrSlc[],float density,float dwidth,
 		int JKest,int regdetails,int varcoef,int Rbtwloc,float ***RSll[12],float ***V[12],float **R2pl[12])
 {
-	int c,l,S;
+	int c,l,S,a;
+	char smess[SMAX];
 	FILE *fp;
 
 	while((fp=fopen(outputfilename,"a"))==NULL){
@@ -2411,7 +2485,8 @@ void writeIndStatresults(char *outputfilename,int n,int Nsg,int m,char namelocus
 	}
 	if(TypeComp || FreqRef){
 		if(FreqRef==0) fprintf(fp," (reference sample (allele frequencies) = WHOLE SAMPLE)");
-		if(FreqRef==1) fprintf(fp," (reference sample (allele frequencies) = SAMPLE WITHIN CATEGORY)");	
+		if(FreqRef==1 && TypeComp!=2) fprintf(fp," (reference sample (allele frequencies) = SAMPLE WITHIN CATEGORY)");	
+		if(FreqRef==1 && TypeComp==2) fprintf(fp," (reference sample (allele frequencies) = SAMPLES WITHIN CATEGORIES for Moran's I statistic, or WHOLE SAMPLE for other metrics)");	
 		if(FreqRef==-2) fprintf(fp," (reference allele frequencies = UNWEIGHTED MEAN FREQUENCIES OVER CATEGORIES)");	
 	}
  	if(FreqRef==-1) fprintf(fp," (relative to GIVEN REFERENCE ALLELE FREQUENCIES (except for Moran's I relationship coef and Rousset's 'a' coef))");
@@ -2447,6 +2522,7 @@ void writeIndStatresults(char *outputfilename,int n,int Nsg,int m,char namelocus
 		if(Stat[S]==12) fprintf(fp,"\n\nPairwise RELATIONSHIP coefficients for a DOMINANT marker, assuming inbreeding coef=%.4f (Hardy, 2003; Ley & Hardy, 2013)",givenF);
 		if(Stat[S]==13) fprintf(fp,"\n\nPairwise RELATIONSHIP coefficients (Li et al., 1993)");
 		if(Stat[S]==14) fprintf(fp,"\n\nPairwise KINSHIP coefficients for ORDERED alleles (OJ Hardy, unpublished)");
+		if(Stat[S]==15) fprintf(fp,"\n\nPairwise Qij (proportion of identical pairs of alleles)");
 		
 		for(c=0;c<=nc+2;c++) fprintf(fp,"\t");
 		fprintf(fp,"distance range for regression analyses");
@@ -2468,7 +2544,7 @@ void writeIndStatresults(char *outputfilename,int n,int Nsg,int m,char namelocus
 		for(l=0;l<=m+4;l++){
 			if(m==1 && l==0) l=1;
 			if(l==0) fprintf(fp,"\nALL LOCI");
-			if(l>0 && l<=m) fprintf(fp,"\n%s",namelocus[l]);
+			if(l>0 && l<=m) fprintf(fp,"\n%s",namelocus[l].n);
 			if(m==1 && l>m) break;
 			if(JKest==0 && l>m && l!=m+3) continue;
 			if(varcoef==0 && l>m+2) break;
@@ -2479,7 +2555,7 @@ void writeIndStatresults(char *outputfilename,int n,int Nsg,int m,char namelocus
 
 			for(c=0;c<=nc+1;c++){
 				if((Stat[S]==11 || Stat[S]==12)  && c==0 && l>0 && l<=m) fprintf(fp,"\t%G",H2[l]);
-				else if(((Stat[S]!=1 && Stat[S]!=2 && Stat[S]!=5 && Stat[S]!=14) && c==0) || corrSlc[S][l][c]==MISSVAL) fprintf(fp,"\t");
+				else if(((Stat[S]!=1 && Stat[S]!=2 && Stat[S]!=5 && Stat[S]!=14 && Stat[S]!=15) && c==0) || corrSlc[S][l][c]==MISSVAL) fprintf(fp,"\t");
 				else if(l<=m+2) fprintf(fp,"\t%.4f",corrSlc[S][l][c]);
 				else fprintf(fp,"\t%G",corrSlc[S][l][c]);
 				if(nc==1 && c==nc+1) fprintf(fp,"\t");				
@@ -2536,12 +2612,13 @@ void writeIndStatresults(char *outputfilename,int n,int Nsg,int m,char namelocus
 
 
 /**************************************************************************************/
-void writePopStatresults(char *outputfilename,int Npop,int m,char namelocus[][MAXNOM],int nc,double *maxc,
+void writePopStatresults(char *outputfilename,int Npop,int m,struct name namelocus[],int nc,double *maxc,
 		int *npc,float **indexpartic,double *mdc,double *mlndc,float dijmin,float dijmax,
 		int StatType,int TypeComp,int cat1,int cat2,struct name *namecat,int NS,int Stat[12],float **corrSlc[],float **FstatSlr[],
 		int JKest,int regdetails,int varcoef,int Rbtwloc,float ***RSll[12],float ***V[12],float **R2pl[12],int PWstat)
 {
-	int c,l,S,r;
+	int c,l,S,a,r;
+	char smess[SMAX];
 	FILE *fp;
 
 	while((fp=fopen(outputfilename,"a"))==NULL){
@@ -2648,7 +2725,7 @@ void writePopStatresults(char *outputfilename,int Npop,int m,char namelocus[][MA
 		for(l=0;l<=m+4;l++){
 			if(m==1 && l==0) l=1;
 			if(l==0) fprintf(fp,"\nALL LOCI");
-			if(l>0 && l<=m) fprintf(fp,"\n%s",namelocus[l]);
+			if(l>0 && l<=m) fprintf(fp,"\n%s",namelocus[l].n);
 			if(m==1 && l>m) break;
 			if(JKest==0 && l>m && l!=m+3) continue;
 			if(l>m+2 && (varcoef==0 || Stat[S]==7 || Stat[S]==8)) break;
@@ -2724,11 +2801,11 @@ void writePopStatresults(char *outputfilename,int Npop,int m,char namelocus[][MA
 
 void writedistmatrices (char *outputfilename,int n,int m,float givenF,int TypeComp, int *cati,
 		int printdistmatrix,double *xi,double *yi,double *zi,double **Mdij,int *sgi,
-		int StatType,int NS,int Stat[12],float ***corrSlij[],struct name namei[],
-		char namelocus[][MAXNOM])
+		int StatType,int NS,int Stat[12],float ***corrSlij[],struct name namei[],struct name namelocus[])
 {	
 	int i,j,S,l,indivF,intraPop;
 	char smess[SMAX];
+	char ch;
 	float dij;
 	FILE *fp;
 
@@ -2780,6 +2857,7 @@ void writedistmatrices (char *outputfilename,int n,int m,float givenF,int TypeCo
 				if(Stat[S]==12) sprintf(smess,"\n\nPairwise RELATIONSHIP coefficients for a DOMINANT marker, assuming inbreeding coef=%.4f (Hardy, 2003)",givenF);
 				if(Stat[S]==13) sprintf(smess,"\n\nPairwise RELATIONSHIP coefficients (Li et al., 1993)");
 				if(Stat[S]==14) sprintf(smess,"\n\nPairwise KINSHIP coefficients for ORDERED alleles (OJ Hardy, unpublished)");
+				if(Stat[S]==15) sprintf(smess,"\n\nPairwise Qij (proportion of identical pairs of alleles)");
 			}
 			else{
 				if(Stat[S]==1) sprintf(smess,"\n\nPairwise Fst (ANOVA approach)");
@@ -2802,7 +2880,7 @@ void writedistmatrices (char *outputfilename,int n,int m,float givenF,int TypeCo
 				if(m==1) l=1;
 				if(abs(printdistmatrix)==1 && m>1 && l>0) break;
 				if(l==0) sprintf(smess,"\nALL LOCI");
-				if(l>0) sprintf(smess,"\n%s",namelocus[l]);
+				if(l>0) sprintf(smess,"\n%s",namelocus[l].n);
 				fprintf(fp,"\n%s",smess);
 
 				for(i=1;i<=n;i++) fprintf(fp,"\t%s",namei[i].n);
@@ -2833,7 +2911,7 @@ void writedistmatrices (char *outputfilename,int n,int m,float givenF,int TypeCo
 	/*write pairwise results in column form*/
 	printf("\nWriting pairwise distances in column form. Please wait.");
 	fprintf(fp,"\n\n\nPAIRWISE SPATIAL AND GENETIC DISTANCES written in column form");
-	fprintf(fp,"\nName i\tName j\tNo. i\tNo. j\tSpatial dist");
+	fprintf(fp,"\nName i\tName j\tNoi\tNoj\tSpatial dist");
 	if(Mdij[0][0]==-1.) fprintf(fp," (km)");
 	for(S=1;S<=NS;S++){
 		if(StatType==1){
@@ -2851,6 +2929,7 @@ void writedistmatrices (char *outputfilename,int n,int m,float givenF,int TypeCo
 			if(Stat[S]==12) sprintf(smess,"\tPairwise RELATIONSHIP coefficients for a DOMINANT marker, assuming inbreeding coef=%.4f (Hardy, 2003)",givenF);
 			if(Stat[S]==13) sprintf(smess,"\tPairwise RELATIONSHIP coefficients (Li et al., 1993)");
 			if(Stat[S]==14) sprintf(smess,"\tPairwise KINSHIP coefficients for ORDERED alleles (OJ Hardy, unpublished)");
+			if(Stat[S]==15) sprintf(smess,"\tPairwise Qij (proportion of identical pairs of alleles)");
 		}
 		if(StatType>=2){
 			if(Stat[S]==1) sprintf(smess,"\tFst");
@@ -2869,11 +2948,11 @@ void writedistmatrices (char *outputfilename,int n,int m,float givenF,int TypeCo
 		}
 		fprintf(fp,"%s",smess);
 		if(m>1) fprintf(fp,"\tALL LOCI");
-		if(m==1 || abs(printdistmatrix)==2) for(l=1;l<=m;l++) fprintf(fp,"\t%s",namelocus[l]);
+		if(m==1 || abs(printdistmatrix)==2) for(l=1;l<=m;l++) fprintf(fp,"\t%s",namelocus[l].n);
 	}/*end of loop S*/
 /*	for(i=1;i<n;i++)for(j=i+1;j<=n;j++){	*/
 	indivF=intraPop=0;
-	if(StatType==1) for(S=1;S<=NS;S++)if(Stat[S]==1 || Stat[S]==2 || Stat[S]==5) indivF=1;
+	if(StatType==1) for(S=1;S<=NS;S++)if(Stat[S]==1 || Stat[S]==2 || Stat[S]==5  || Stat[S]==15) indivF=1;
 	if(StatType>1) for(S=1;S<=NS;S++)if(Stat[S]==10 || Stat[S]==12) intraPop=1;
 	for(i=1;i<=n;i++)for(j=i;j<=n;j++){
 
@@ -2928,6 +3007,7 @@ void writedistmatrices (char *outputfilename,int n,int m,float givenF,int TypeCo
 				if(Stat[S]==12) sprintf(smess,"\n\nPairwise RELATIONSHIP coefficients for a DOMINANT marker, assuming inbreeding coef=%.4f (Hardy, 2003)",givenF);
 				if(Stat[S]==13) sprintf(smess,"\n\nPairwise RELATIONSHIP coefficients (Li et al., 1993)");
 				if(Stat[S]==14) sprintf(smess,"\n\nPairwise KINSHIP coefficients for ORDERED alleles (OJ Hardy, unpublished)");
+				if(Stat[S]==15) sprintf(smess,"\n\nPairwise Qij (proportion of identical pairs of alleles)");
 			}
 			else{
 				if(Stat[S]==1) sprintf(smess,"\n\nPairwise Fst (ANOVA approach)");
@@ -2981,13 +3061,14 @@ void writedistmatrices (char *outputfilename,int n,int m,float givenF,int TypeCo
 
 
 void WriteIndPermutRes(char *outputfilename,int n,int ploidy,int Ncat,
-		double *maxc,int m,char namelocus[][MAXNOM],int TypeComp,float givenF,
+		double *maxc,int m,struct name namelocus[],int TypeComp,float givenF,
 		int nc,int Nsg,int NS,int Stat[],int Npermut[],int permutalleles,
 		int permutdetails,struct resample_stat_type **r_statSlc[],long seedinit)
 
 {
 	int c,l=0,S;
 	float Pval;
+	char smess[SMAX];
 	char *permutmode[70];
 
 	FILE *fp;
@@ -3019,7 +3100,7 @@ void WriteIndPermutRes(char *outputfilename,int n,int ploidy,int Ncat,
  	
 	if(TypeComp==2 && !permutalleles) fprintf(fp,"\nWARNING: Significant tests for spatial structuring (location permutations) in the case of pairwise comparisons among categories cannot be interpreted as a demonstration that gene flow occurs among categories (Hardy and Vekemans 2001)");		
 
-	fprintf(fp,"\nInitial seed= %i",abs(seedinit));
+	fprintf(fp,"\nInitial seed= %li",labs(seedinit));
  	
 	if(permutdetails==0){
 		if(permutalleles) fprintf(fp,"\nP values of 2-sided tests (obs<>exp) after %i random permutations of allele sizes",Npermut[4]);
@@ -3044,14 +3125,15 @@ void WriteIndPermutRes(char *outputfilename,int n,int ploidy,int Ncat,
 			if(Stat[S]==12) fprintf(fp,"\tPairwise RELATIONSHIP coefficients for a DOMINANT marker, assuming inbreeding coef=%.4f (Hardy, 2003)",givenF);
 			if(Stat[S]==13) fprintf(fp,"\tPairwise RELATIONSHIP coefficients (Li et al., 1993)");
 			if(Stat[S]==14) fprintf(fp,"\tPairwise KINSHIP coefficients for ORDERED alleles (OJ Hardy, unpublished)");
+			if(Stat[S]==15) fprintf(fp,"\tPairwise Qij (proportion of identical pairs of alleles)");
 
 			for(c=1;c<=nc+2;c++){fprintf(fp,"\t");}
 			fprintf(fp,"\tSlopes of regression analyses");
 			if(Nsg>1) fprintf(fp,"\nLocus\tintra-individual\tintra-group");
 			else fprintf(fp,"\nLocus\tintra-individual\t1");	
 			for(c=2;c<=nc;c++) fprintf(fp,"\t%i",c);
-			//if(Nsg>1) cinit=2;
-			//else cinit=1;
+			// if(Nsg>1) cinit=2;
+			// else cinit=1;
  			fprintf(fp,"\t\t\tb-lin (slope linear dist)\tb-log (slope ln(dist))");
 			
 		}
@@ -3061,7 +3143,7 @@ void WriteIndPermutRes(char *outputfilename,int n,int ploidy,int Ncat,
 
 			if(permutdetails==0 || (permutdetails==1 && l!=0)){
 				if(l==0) fprintf(fp,"\nALL LOCI");
-				if(l>0) fprintf(fp,"\n%s",namelocus[l]);
+				if(l>0) fprintf(fp,"\n%s",namelocus[l].n);
 				
 				for(c=0;c<=nc;c++){
 					if(r_statSlc[S][l][c].pbil==MISSVAL) fprintf(fp,"\t"); 
@@ -3082,7 +3164,7 @@ void WriteIndPermutRes(char *outputfilename,int n,int ploidy,int Ncat,
 			if(permutdetails==2 || (permutdetails==1 && l==0)){
 
 				if(l==0) fprintf(fp,"\n\nALL LOCI");
-				if(l>0) fprintf(fp,"\n%s",namelocus[l]);
+				if(l>0) fprintf(fp,"\n%s",namelocus[l].n);
 				
 				if(Stat[S]==1) fprintf(fp,"\tPairwise KINSHIP coefficients (Loiselle et al., 1995)");
 				if(Stat[S]==2) fprintf(fp,"\tPairwise KINSHIP coefficients (Ritland, 1996)");
@@ -3098,6 +3180,7 @@ void WriteIndPermutRes(char *outputfilename,int n,int ploidy,int Ncat,
 				if(Stat[S]==12) fprintf(fp,"\tPairwise RELATIONSHIP coefficients for a DOMINANT marker, assuming inbreeding coef=%.4f (Hardy, 2003)",givenF);
 				if(Stat[S]==13) fprintf(fp,"\tPairwise RELATIONSHIP coefficients (Li et al., 1993)");
 				if(Stat[S]==14) fprintf(fp,"\tPairwise KINSHIP coefficients for ORDERED alleles (OJ Hardy, unpublished)");
+				if(Stat[S]==15) fprintf(fp,"\tPairwise Qij (proportion of identical pairs of alleles)");
 				
 				for(c=1;c<=nc+2;c++) fprintf(fp,"\t");
 				fprintf(fp,"\tSlopes of regression analyses");
@@ -3107,8 +3190,8 @@ void WriteIndPermutRes(char *outputfilename,int n,int ploidy,int Ncat,
 				
 				for(c=2;c<=nc;c++) fprintf(fp,"\t%i",c);
 					
-				//if(Nsg>1) cinit=2;
-				//else cinit=1;
+				// if(Nsg>1) cinit=2;
+				// else cinit=1;
  				fprintf(fp,"\t\t\tb-lin (slope linear dist)\tb-log (slope ln(dist))");
 							
 				fprintf(fp,"\nObject permuted");				
@@ -3201,7 +3284,7 @@ void WriteIndPermutRes(char *outputfilename,int n,int ploidy,int Ncat,
 
 /*************************************************************************************/
 
-void WriteFiPermutRes(char *outputfilename,int m,char namelocus[][MAXNOM],int Npop,struct name namepop[], 
+void WriteFiPermutRes(char *outputfilename,int m,struct name namelocus[],int Npop,struct name namepop[], 
 		int permutdetails,float **Fpl,struct resample_stat_type **r_statFlp,int Npermut,long seedinit)
 
 {
@@ -3217,7 +3300,7 @@ void WriteFiPermutRes(char *outputfilename,int m,char namelocus[][MAXNOM],int Np
 	printf("\nWriting permutation results. Please, wait.");
 
 	fprintf(fp,"\n\nGENE PERMUTATION TESTS for INBREEDING COEFFICIENT within EACH POPULATION -> Ho: obs=exp (exp = mean value after permutation)");
-	fprintf(fp,"\nInitial seed= %i",abs(seedinit));
+	fprintf(fp,"\nInitial seed= %li",labs(seedinit));
 	if(permutdetails==0){
 		fprintf(fp,"\nP values of 2-sided tests (obs<>exp) after %i random permutations of gene copies among individuals within each population",Npermut);
 	}
@@ -3230,7 +3313,7 @@ void WriteFiPermutRes(char *outputfilename,int m,char namelocus[][MAXNOM],int Np
 		if(m==1) l=1;
 		for(p=1;p<=Npop;p++){
 			if(l==0) fprintf(fp,"\nALL LOCI\t%s\t%f",namepop[p].n,Fpl[p][l]);
-			if(l>0) fprintf(fp,"\n%s\t%s\t%f",namelocus[l],namepop[p].n,Fpl[p][l]);
+			if(l>0) fprintf(fp,"\n%s\t%s\t%f",namelocus[l].n,namepop[p].n,Fpl[p][l]);
 			if(permutdetails==0){
 				if(r_statFlp[p][l].pbil!=MISSVAL) fprintf(fp,"\t%.4f",r_statFlp[p][l].pbil);
 				else fprintf(fp,"\t");
@@ -3269,13 +3352,15 @@ void WriteFiPermutRes(char *outputfilename,int m,char namelocus[][MAXNOM],int Np
 /*************************************************************************************/
 
 void WritePopPermutRes(char *outputfilename,int n,int ploidy,
-		double *maxc,int m,char namelocus[][MAXNOM],int TypeComp,
+		double *maxc,int m,struct name namelocus[],int TypeComp,
 		int nc,int NS,int Stat[],int Npermut[],int permutalleles,
 		int permutdetails,struct resample_stat_type **r_statFSlr[],
 		struct resample_stat_type **r_statSlc[],long seedinit,int PWstat)
 
 {
-	int c,l=0,S,r;
+	int c,l=0,cinit,S,r,ri,rf;
+	float Pval;
+	char smess[SMAX];
 	char *permutmode[70];
 
 	FILE *fp;
@@ -3310,7 +3395,7 @@ void WritePopPermutRes(char *outputfilename,int n,int ploidy,
 	if(TypeComp==2 && !permutalleles){
 		fprintf(fp,"\nWARNING: Significant tests for spatial structuring (location permutations) in the case of pairwise comparisons among categories cannot be interpreted as a demonstration that gene flow occurs among categories (Hardy and Vekemans 2001)");
 	}
-	fprintf(fp,"\nInitial seed= %i",abs(seedinit));
+	fprintf(fp,"\nInitial seed= %li",labs(seedinit));
 	if(permutdetails==0){
 		if(permutalleles) fprintf(fp,"\nP values of 2-sided tests (obs<>exp) after %i random permutations of allele sizes",Npermut[4]);
 		else fprintf(fp,"\nP values of 2-sided tests (obs<>exp) after %i random permutations of locations, %i random permutations of individuals, and %i random permutations of gene copies",Npermut[1],Npermut[2],Npermut[3]);
@@ -3369,7 +3454,7 @@ void WritePopPermutRes(char *outputfilename,int n,int ploidy,
 	
 			if(permutdetails==0 || (permutdetails==1 && l!=0)){
 				if(l==0) fprintf(fp,"\nALL LOCI");
-				if(l>0) fprintf(fp,"\n%s",namelocus[l]);
+				if(l>0) fprintf(fp,"\n%s",namelocus[l].n);
 
 				for(r=1;r<=3;r++){
 					if(r_statFSlr[S][l][r].pbil!=MISSVAL) fprintf(fp,"\t%.4f",r_statFSlr[S][l][r].pbil);
@@ -3391,7 +3476,7 @@ void WritePopPermutRes(char *outputfilename,int n,int ploidy,
 			/*write complete analysis*/
 			if(permutdetails==2 || (permutdetails==1 && l==0)){
 				if(l==0) fprintf(fp,"\n\nALL LOCI");
-				if(l>0) fprintf(fp,"\n%s",namelocus[l]);
+				if(l>0) fprintf(fp,"\n%s",namelocus[l].n);
 
 				if(PWstat){
 					if(Stat[S]==1) fprintf(fp,"\tGlobal F-statistics \t\t\t\t\tPairwise Fst");
@@ -3591,7 +3676,7 @@ void WritePopPermutRes(char *outputfilename,int n,int ploidy,
 }/*end of procedure WritePopPermutRes*/
 
 /*******************************************************************************/
-void WritePermutResForPopPair(char *outputfilename,int m,char namelocus[][MAXNOM],
+void WritePermutResForPopPair(char *outputfilename,int m,struct name namelocus[],
 		int p1,int p2,struct name *namepop,int NS,int Stat[],
 		struct resample_stat_type **r_statSlc[],int permutdetails,int comp)
 
@@ -3660,12 +3745,12 @@ void WritePermutResForPopPair(char *outputfilename,int m,char namelocus[][MAXNOM
 			if(allelepermuttest) if(Stat[S]!=5 && Stat[S]!=6 && Stat[S]!=8 && Stat[S]!=11 && Stat[S]!=12) continue;
 			for(l=linit;l<=m;l++){
 				if(l==0) sprintf(smess,"\tALL LOCI");
-				if(l>0) sprintf(smess,"\t%s",namelocus[l]);
+				if(l>0) sprintf(smess,"\t%s",namelocus[l].n);
 				if(permutdetails==2 || (permutdetails==1 && l==0)) for(k=1;k<=11;k++) fprintf(fp,"%s",smess);
 				if(permutdetails==0 || (permutdetails==1 && l!=0)) fprintf(fp,"%s",smess);
 			}
 		}
-		fprintf(fp,"\nName i\tName j\tNo. i\tNo. j");
+		fprintf(fp,"\nName i\tName j\tNoi\tNoj");
 		for(S=1;S<=NS;S++){
 			if(allelepermuttest) if(Stat[S]!=5 && Stat[S]!=6 && Stat[S]!=8 && Stat[S]!=11 && Stat[S]!=12) continue;
 			for(l=linit;l<=m;l++){
@@ -3821,9 +3906,36 @@ void readsfromfile(FILE *fp, char *s, char *inputfile, int *line)
 
 /***********************************************************************/	
 
+void readsfromfile2(FILE *fp, char *s, char *inputfile, int *line) //to read lines containig up to SMAX2 characters
+{
+	char *flag,smess[SMAX]; 
+
+
+	(*line)++;
+	flag = fgets(s,SMAX2,fp);
+	if(! flag) {
+		if (feof(fp)) {
+			sprintf(smess,"\nEnd of file unexpected on line %d from file %s",*line,inputfile);
+			write(ERRORFILE,smess);
+			printf("\npress any key to stop the program now");
+			wait_a_char();
+			exit(1);
+		} else  {
+			sprintf(smess,"\ncannot read line %d from file %s",*line,inputfile);
+			write(ERRORFILE,smess);
+			printf("\npress any key to stop the program now");
+			wait_a_char();
+			exit(1);
+		}
+	}
+} /*end of readsfromfile2*/
+
+/***********************************************************************/	
+
 void readsfromfile_no_end_of_file_check(FILE *fp, char *s, char *inputfile, int *line)
 {
-	//char *flag; 
+	//char *flag;
+	char smess[SMAX]; 
 
 
 	(*line)++;
diff --git a/src/Autocio.h b/src/Autocio.h
index 2e7390d..4687e1c 100644
--- a/src/Autocio.h
+++ b/src/Autocio.h
@@ -27,69 +27,70 @@ void import_data_file(char *inputfile);
 void export_data_file(int StatType,char inputfile[],int n,
 	double *xi,double *yi,double *zi,double *xp,double *yp,double *zp,double **Mdij,
 	int *popi,int Npop,int m,int ndigit,int *Nallelel,int ***gilc,int **allelesizela,
-	struct name namei[],struct name namepop[],char namelocus[][MAXNOM]);
-void readbasicinfoF(char *inputfile,int *n,int *ncat,int *ncoord,int *mp,int *ndigit,int *ploidy,
-		char catname[MAXNOM],char namecoord[] [MAXNOM],char namelocus[][MAXNOM],
-		int *nc,double *maxc);
-void readsecondinfoF(char *inputfile,int n,struct name namei[],int Ncat,struct name namecat[],
-		struct name namecati[],int *cati,int ncoord,double *xi,double *yi,double *zi,
-		int m,int ndigit,int ploidy,int ***gila,int *Nallelel,int **allelesizela,
-		int *ploidyi,int Nip[],double *H2);
+	struct name namei[],struct name namepop[],struct name namelocus[]);
+void readbasicinfoF(char *inputfile,int *n,int *ncat,int *ncoord,int *mp,int *ndigit,int *ploidy,int *nc,double *maxc);
+
+void readsecondinfoF(char *inputfile,int n,struct name namei[],char catname[MAXNOM],char namecoord[][MAXNOM],
+			 int Ncat,struct name namecat[],struct name namelocus[],
+			 struct name namecati[],int *cati,int ncoord,double *xi,double *yi,double *zi,
+			 int m,int ndigit,int ploidy,int ***gilc,int *Nallelel,int **allelesizela,
+			 int *ploidyi,int Nip[],double *H2,double *alpha);
 void displaybasicinfoF(int argc,char *inputfilename,char *outputfilename,
 		int n,int Ncat,int *Nik,int ncoord,int m,int ndigit,
-		int ploidy,int *ploidyi,int Nip[],char namelocus[] [MAXNOM],
+		int ploidy,int *ploidyi,int Nip[],struct name namelocus[],
 		char namecoord[] [MAXNOM],struct name *namecat,
 		int nc,double *maxc,int Nsg,int *Nig,int Nskg,int *Niskg);
 void define_analysisF(int argc,char *instrfile,int n,int ploidy,int ndigit,int m,int Ncat,int Nsg,int Nskg,int ncoord,
 	  int *StatType,int *NS,int Stat[12],int *TypeComp,int *cat1,int *cat2,
 	  struct name *namecat,int *FreqRef,float *givenF,int *writeallelefreq,int *JKest,int *distmatrix,int Npermut[],
-	  float *dijmin,float *dijmax,int *writeresampdistr,int *regdetails,int *varcoef,int *Rbtwloc,float *sigmaest,float *density,float *dwidth,
+	  float *dijmin,float *dijmax,int *writeresampdistr,int *regdetails,int *varcoef,int *Rbtwloc,int *estselfing,float *sigmaest,float *density,float *dwidth,
 	  int *permutdetails,int *distm,char *inputfilename,char *distfilename,char *freqfilename,int *K,
 	  int *definealleledist,char *alleledistfilename,int *export,long *seed);
 void read_pairwise_spatial_distances(char *inputfile,char *distfile,int n,
 		struct name *namei,double **Mdij);
 void read_pairwise_genetic_distances(char *inputfile,char *distfile,int m,
-		char namelocusp[] [MAXNOM],int *Nallelel,int **allelenamela,float ***Mgdlaa);
-void read_allele_frequencies(char *freqfile,int m,char namelocus[][MAXNOM],int *Nallelel,
+		struct name namelocus[],int *Nallelel,int **allelenamela,float ***Mgdlaa);
+void read_allele_frequencies(char *freqfile,int m,struct name namelocus[],int *Nallelel,
 							 int **allelesizela, float **givenPla,int *Ngivenallelel);
-void write_allele_freq(char *outputfilename,int n,int m,char namelocus[][MAXNOM],int ndigit,int ploidy,
+void write_allele_freq(char *outputfilename,int n,int m,struct name namelocus[],int ndigit,int ploidy,
 		int Npop,int *Nip,struct name namepop[],int StatType,int NS,int Stat[],int **allelesizela,
-		int **Nallelepl,float ***Ppla,float **Nnielsenpl,float **RA, int K,float **Hepl,float **hTpl,float **uTpl,
+		int **Nallelepl,float ***Ppla,float **Nnielsenpl,float **RA, int K,float **Hopl,float **Hepl,float **hTpl,float **uTpl,
 		float **Dmpl,float **Dwmpl,float **Masizepl,float **Vasizepl,int **Nmissinggenotpl,int **Nincompletegenotpl,
 		int **Nvalgenpl,int printallelefreq,int FreqRef,int *Ngivenallelel,float **givenPla,float**Fpl,int Npermut,struct resample_stat_type **rstatFlp);
 void displaydist(int argc,char *outputfilename,int nc,double *maxc,double *mdc,double *mlndc,
 				 int *npc,float **indexpartic);
-void writeIndStatresults(char *outputfilename,int n,int Nsg,int m,char namelocus[][MAXNOM],int nc,double *maxc,
+void writeIndStatresults(char *outputfilename,int n,int Nsg,int m,struct name namelocus[],int nc,double *maxc,
 		int *npc,float **indexpartic,double *mdc,double *mlndc,float dijmin,float dijmax,float givenF,double *H2,
 		int TypeComp,int cat1,int cat2,struct name *namecat,int FreqRef,int NS,int Stat[12],float **corrSvc[10],float density,float dwidth,
 		int JKest,int regdetails,int varcoef,int Rbtwloc,float ***RSll[12],float ***V[12],float **R2pl[12]);
-void WriteFiPermutRes(char *outputfilename,int m,char namelocus[][MAXNOM],int Npop,struct name namepop[], 
+void WriteFiPermutRes(char *outputfilename,int m,struct name namelocus[],int Npop,struct name namepop[], 
 		int permutdetails,float **Fpl,struct resample_stat_type **r_statFlp,int Npermut,long seedinit);
-void writePopStatresults(char *outputfilename,int Npop,int m,char namelocus[][MAXNOM],int nc,double *maxc,
+void writePopStatresults(char *outputfilename,int Npop,int m,struct name namelocus[],int nc,double *maxc,
 		int *npc,float **indexpartic,double *mdc,double *mlndc,float dijmin,float dijmax,
 		int StatType,int TypeComp,int cat1,int cat2,struct name *namecat,int NS,int Stat[12],float **corrSlc[],float **FstatSlr[],
 		int JKest,int regdetails,int varcoef,int Rbtwloc,float ***RSll[12],float ***V[12],float **R2pl[12],int PWstat);
 void writedistmatrices (char *outputfilename,int n,int m,float givenF,int TypeComp, int *cati,
 		int printdistmatrix,double *xi,double *yi,double *zi,double **Mdij,int *sgi,
 		int StatType,int NS,int Stat[12],
-		float ***corrSlij[10],struct name namei[],char namelocus[][MAXNOM]);
+		float ***corrSlij[10],struct name namei[],struct name namelocus[]);
 
 void WriteIndPermutRes(char *outputfilename,int n,int ploidy,int Ncat,
-		double *maxc,int m,char namelocus[][MAXNOM],int TypeComp,float givenF,
+		double *maxc,int m,struct name namelocus[],int TypeComp,float givenF,
 		int nc,int Nsg,int NS,int Stat[],int Npermut[],int permutalleles,
 		int permutdetails,struct resample_stat_type **r_statSlc[10],long seedinit);
 void WritePopPermutRes(char *outputfilename,int n,int ploidy,
-		double *maxc,int m,char namelocus[][MAXNOM],int TypeComp,
+		double *maxc,int m,struct name namelocus[],int TypeComp,
 		int nc,int NS,int Stat[],int Npermut[],int permutalleles,
 		int permutdetails,struct resample_stat_type **r_statFSlr[],
 		struct resample_stat_type **r_statSlc[],long seedinit,int PWstat);
-void WritePermutResForPopPair(char *outputfilename,int m,char namelocus[][MAXNOM],
+void WritePermutResForPopPair(char *outputfilename,int m,struct name namelocus[],
 		int p1,int p2,struct name *namepop,int NS,int Stat[],
 		struct resample_stat_type **r_statSlc[10],int permutdetails,int comp);
 
 char *nexttab(char *s, char *inputfile, int line);
 char *nexttab_blank(char *s, char *inputfile, int line);
 void readsfromfile(FILE *fp, char *s, char *inputfile, int *line);
+void readsfromfile2(FILE *fp, char *s, char *inputfile, int *line);
 void readsfromfile_no_end_of_file_check(FILE *fp, char *s, char *inputfile, int *line);
 void readsfromstring(char *ins, char *outs,int nchar, char *inputfile, int line);
 void readintfromstring(char *ins, int *outi, char *inputfile, int line);
diff --git a/src/CMakeLists.txt b/src/CMakeLists.txt
index 58f0952..1bc58bc 100644
--- a/src/CMakeLists.txt
+++ b/src/CMakeLists.txt
@@ -1,41 +1,21 @@
 INCLUDE(CheckIncludeFile)
 INCLUDE(CheckFunctionExists)
 INCLUDE(CheckLibraryExists)
+INCLUDE(CheckCCompilerFlag)
 
-ADD_DEFINITIONS(-DHAVE_CONFIG_H -DHAVE_VERSION_H)
+ADD_DEFINITIONS(-DHAVE_CONFIG_H)
 
-IF(CMAKE_COMPILER_IS_GNUCC)
-  SET(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -Wall -Wno-unused-variable")
-ENDIF(CMAKE_COMPILER_IS_GNUCC)
+string(TOLOWER "${CMAKE_BUILD_TYPE}" cmake_build_type_lc)
 
-IF(MSVC)
-  ADD_DEFINITIONS(-D_CRT_SECURE_NO_DEPRECATE -D_CRT_NONSTDC_NO_DEPRECATE)
-  ADD_DEFINITIONS(-D_SCL_SECURE_NO_DEPRECATE)
-  SET(CMAKE_C_FLAGS "${MY_C_FLAGS} /wd4100 /wd4101 /wd4189 /wd4706")
-  STRING(REGEX REPLACE "/MD" "/MT" CMAKE_C_FLAGS_RELEASE "${CMAKE_C_FLAGS_RELEASE}")
-  STRING(REGEX REPLACE "/MDd" "/MTd" CMAKE_C_FLAGS_DEBUG "${CMAKE_C_FLAGS_DEBUG}")
-  
-  # Use the highest warning level for visual studio.
-  SET(CMAKE_C_WARNING_LEVEL 4)
-  IF(CMAKE_C_FLAGS MATCHES "/W[0-4]")
-    STRING(REGEX REPLACE "/W[0-4]" "/W4"
-           CMAKE_C_FLAGS "${CMAKE_C_FLAGS}")
-  ELSE(CMAKE_C_FLAGS MATCHES "/W[0-4]")
-    SET(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} /W4")
-  ENDIF(CMAKE_C_FLAGS MATCHES "/W[0-4]")
-ENDIF(MSVC)
-
-IF(UNIX)
-  SET(CMAKE_REQUIRED_LIBRARIES m)
-ENDIF(UNIX)
-
-IF(WIN32)
-  SET(RES_SRCS ${RES_SRCS} spagedi.rc)
-ENDIF(WIN32)
-
-IF(APPLE_BUNDLE_APP)
-  SET(SPAGEDI_MACOSX_BUNDLE MACOSX_BUNDLE)
-ENDIF(APPLE_BUNDLE_APP)
+IF(cmake_build_type_lc STREQUAL "debug")
+    SET(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -Wall")
+ELSE()
+    CHECK_C_COMPILER_FLAG(-Wno-stringop-truncation, COMPILER_NO_STRINGOP_TRUNCATION)
+    SET(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -Wno-unused-variable")
+    IF(COMPILER_NO_STRINGOP_TRUNCATION)
+        SET(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -Wno-stringop-truncation")
+    ENDIF()
+ENDIF()
 
 CHECK_INCLUDE_FILE("unistd.h" HAVE_UNISTD_H)
 CHECK_INCLUDE_FILE("libgen.h" HAVE_LIBGEN_H)
@@ -53,28 +33,6 @@ ADD_EXECUTABLE(spagedi ${SPAGEDI_MACOSX_BUNDLE}
   ${CMAKE_CURRENT_BINARY_DIR}/config.h
   ${RES_SRCS})
 
-TARGET_LINK_LIBRARIES(spagedi ${CMAKE_REQUIRED_LIBRARIES})
-
-ADD_DEPENDENCIES(spagedi version)
-
-IF(APPLE_BUNDLE_APP)
-  SET_TARGET_PROPERTIES(spagedi PROPERTIES OUTPUT_NAME ${SPAGEDI_BUNDLE_NAME})
-  SET(SPAGEDI_INSTALL_EXTRA_ARGS BUNDLE DESTINATION "${SPAGEDI_BUNDLE_LOCATION}")
-ENDIF(APPLE_BUNDLE_APP)
+TARGET_LINK_LIBRARIES(spagedi m)
 
 INSTALL(TARGETS spagedi RUNTIME DESTINATION bin ${SPAGEDI_INSTALL_EXTRA_ARGS})
-
-IF(UNIX)
-  INSTALL(FILES SPAGeDi.desktop DESTINATION share/applications )
-  INSTALL(FILES SPAGeDi.png DESTINATION share/pixmaps )
-ENDIF(UNIX)
-
-IF(APPLE_BUNDLE_APP)
-  INSTALL(CODE "file(MAKE_DIRECTORY \$ENV{DESTDIR}\${CMAKE_INSTALL_PREFIX}/bin)")
-  INSTALL(CODE "execute_process(COMMAND ln -s \"../MacOS/${SPAGEDI_BUNDLE_NAME}\" spagedi
-                  WORKING_DIRECTORY \$ENV{DESTDIR}\${CMAKE_INSTALL_PREFIX}/bin)")
-#  INSTALL(CODE "set(input_file
-#    \"\$ENV{DESTDIR}\${CMAKE_INSTALL_PREFIX}/MacOS/${SPAGEDI_BUNDLE_NAME}\")")
-#  INSTALL(SCRIPT "${CMAKE_SOURCE_DIR}/CMakeIngestOSXBundleLibraries.cmake") 
-ENDIF(APPLE_BUNDLE_APP)
-
diff --git a/src/Xatools.c b/src/Xatools.c
index 7d2839d..17a14de 100644
--- a/src/Xatools.c
+++ b/src/Xatools.c
@@ -52,6 +52,7 @@ int *ivector(long int nl, long int nh)
 	v=(int *)malloc((size_t) ((nh-nl+1+NR_END)*sizeof(int))); 
 	if (!v) {
 		write(ERRORFILE,"\nallocation failure in ivector()");
+		wait_a_char();
 		exit(1);
 	}
 	return v-nl+NR_END;
@@ -73,6 +74,7 @@ long *lvector(long int nl, long int nh)
 	v=(long *)malloc((size_t) ((nh-nl+1+NR_END)*sizeof(long))); 
 	if (!v) {
 		write(ERRORFILE,"\nallocation failure in lvector()");
+		wait_a_char();
 		exit(1);
 	}
 	return v-nl+NR_END;
@@ -94,6 +96,7 @@ float *vector(long int nl, long int nh)
 	v=(float *)malloc((size_t) ((nh-nl+1+NR_END)*sizeof(float))); 
 	if (!v) {
 		write(ERRORFILE,"\nallocation failure in vector()");
+		wait_a_char();
 		exit(1);
 	}
 	return v-nl+NR_END;
@@ -114,6 +117,7 @@ double *dvector(long int nl, long int nh)
 	v=(double *)malloc((size_t) ((nh-nl+1+NR_END)*sizeof(double))); 
 	if (!v) {
 		write(ERRORFILE,"\nallocation failure in dvector()");
+		wait_a_char();
 		exit(1);
 	}
 	return v-nl+NR_END;
@@ -134,6 +138,7 @@ char *cvector(long int nl, long int nh)
 	v=(char *)malloc((size_t) ((nh-nl+1+NR_END)*sizeof(char))); 
 	if (!v) {
 		write(ERRORFILE,"\nallocation failure in dvector()");
+		wait_a_char();
 		exit(1);
 	}
 	return v-nl+NR_END;
@@ -156,6 +161,7 @@ int **imatrix(long nrl, long nrh,long ncl, long nch)
 	m=(int **) malloc((size_t)((nrow+NR_END)*sizeof(int*)));
 	if (!m) {
 		write(ERRORFILE,"\nallocation failure 1 in imatrix()");
+		wait_a_char();
 		exit(1);
 	}
 	m += NR_END;
@@ -165,6 +171,7 @@ int **imatrix(long nrl, long nrh,long ncl, long nch)
 	m[nrl]=(int *) malloc((size_t)((nrow*ncol+NR_END)*sizeof(int)));
 	if (!m[nrl]) {
 		write(ERRORFILE,"\nallocation failure 2 in imatrix()");
+		wait_a_char();
 		exit(1);
 	}
 	m[nrl] += NR_END;
@@ -196,6 +203,7 @@ float **matrix(long nrl, long nrh,long ncl, long nch)
 
 	if (!m) {
 		write(ERRORFILE,"\nallocation failure 1 in matrix()");
+		wait_a_char();
 		exit(1);
 	}
 	m += NR_END;
@@ -205,6 +213,7 @@ float **matrix(long nrl, long nrh,long ncl, long nch)
 	m[nrl]=(float *) malloc((size_t)((nrow*ncol+NR_END)*sizeof(float)));
 	if (!m[nrl]) {
 		write(ERRORFILE,"\nallocation failure 2 in matrix()");
+		wait_a_char();
 		exit(1);
 	}
 	m[nrl] += NR_END;
@@ -234,6 +243,7 @@ double **dmatrix(long nrl, long nrh,long ncl, long nch)
 	m=(double **) malloc((size_t)((nrow+NR_END)*sizeof(double *)));
 	if (!m) {
 		write(ERRORFILE,"\nallocation failure 1 in matrix()");
+		wait_a_char();
 		exit(1);
 	}
 	m += NR_END;
@@ -243,6 +253,7 @@ double **dmatrix(long nrl, long nrh,long ncl, long nch)
 	m[nrl]=(double *) malloc((size_t)((nrow*ncol+NR_END)*sizeof(double)));
 	if (!m[nrl]) {
 		write(ERRORFILE,"\nallocation failure 2 in matrix()");
+		wait_a_char();
 		exit(1);
 	}
 	m[nrl] += NR_END;
@@ -273,6 +284,7 @@ char **cmatrix(long nrl, long nrh,long ncl, long nch)
 	m=(char **) malloc((size_t)((nrow+NR_END)*sizeof(char *)));
 	if (!m) {
 		write(ERRORFILE,"\nallocation failure 1 in matrix()");
+		wait_a_char();
 		exit(1);
 	}
 	m += NR_END;
@@ -282,6 +294,7 @@ char **cmatrix(long nrl, long nrh,long ncl, long nch)
 	m[nrl]=(char *) malloc((size_t)((nrow*ncol+NR_END)*sizeof(char)));
 	if (!m[nrl]) {
 		write(ERRORFILE,"\nallocation failure 2 in matrix()");
+		wait_a_char();
 		exit(1);
 	}
 	m[nrl] += NR_END;
@@ -311,6 +324,7 @@ float ***fpmatrix(long nrl, long nrh,long ncl, long nch)
 	m=(float ***) malloc((size_t)((nrow+NR_END)*sizeof(float **)));
 	if (!m) {
 		write(ERRORFILE,"\nallocation failure 1 in matrix()");
+		wait_a_char();
 		exit(1);
 	}
 	m += NR_END;
@@ -320,6 +334,7 @@ float ***fpmatrix(long nrl, long nrh,long ncl, long nch)
 	m[nrl]=(float **) malloc((size_t)((nrow*ncol+NR_END)*sizeof(float*)));
 	if (!m[nrl]) {
 		write(ERRORFILE,"\nallocation failure 2 in matrix()");
+		wait_a_char();
 		exit(1);
 	}
 	m[nrl] += NR_END;
@@ -350,6 +365,7 @@ float ***f3tensor(long nrl, long nrh,long ncl, long nch,long ndl,long ndh)
 	t=(float ***) malloc((size_t)((nrow+NR_END)*sizeof(float **)));
 	if (!t) {
 		write(ERRORFILE,"\nallocation failure 1 in f3tensor()");
+		wait_a_char();
 		exit(1);
 	}
 	t += NR_END;
@@ -359,6 +375,7 @@ float ***f3tensor(long nrl, long nrh,long ncl, long nch,long ndl,long ndh)
 	t[nrl]=(float **) malloc((size_t)((nrow*ncol+NR_END)*sizeof(float *)));
 	if (!t[nrl]) {
 		write(ERRORFILE,"\nallocation failure 2 in f3tensor()");
+		wait_a_char();
 		exit(1);
 	}
 	t[nrl] += NR_END;
@@ -368,6 +385,7 @@ float ***f3tensor(long nrl, long nrh,long ncl, long nch,long ndl,long ndh)
 	t[nrl][ncl]=(float *) malloc((size_t)((nrow*ncol*ndep+NR_END)*sizeof(float )));
 	if (!t[nrl][ncl]) {
 		write(ERRORFILE,"\nallocation failure 3 in f3tensor()");
+		wait_a_char();
 		exit(1);
 	}
 	t[nrl][ncl] += NR_END;
@@ -405,6 +423,7 @@ double ***d3tensor(long nrl, long nrh,long ncl, long nch,long ndl,long ndh)
 	t=(double ***) malloc((size_t)((nrow+NR_END)*sizeof(double **)));
 	if (!t) {
 		write(ERRORFILE,"\nallocation failure 1 in f3tensor()");
+		wait_a_char();
 		exit(1);
 	}
 	t += NR_END;
@@ -414,6 +433,7 @@ double ***d3tensor(long nrl, long nrh,long ncl, long nch,long ndl,long ndh)
 	t[nrl]=(double **) malloc((size_t)((nrow*ncol+NR_END)*sizeof(double *)));
 	if (!t[nrl]) {
 		write(ERRORFILE,"\nallocation failure 2 in f3tensor()");
+		wait_a_char();
 		exit(1);
 	}
 	t[nrl] += NR_END;
@@ -423,6 +443,7 @@ double ***d3tensor(long nrl, long nrh,long ncl, long nch,long ndl,long ndh)
 	t[nrl][ncl]=(double *) malloc((size_t)((nrow*ncol*ndep+NR_END)*sizeof(double )));
 	if (!t[nrl][ncl]) {
 		write(ERRORFILE,"\nallocation failure 3 in f3tensor()");
+		wait_a_char();
 		exit(1);
 	}
 	t[nrl][ncl] += NR_END;
@@ -459,6 +480,7 @@ int ***i3tensor(long nrl, long nrh,long ncl, long nch,long ndl,long ndh)
 	t=(int ***) malloc((size_t)((nrow+NR_END)*sizeof(int **)));
 	if (!t) {
 		write(ERRORFILE,"\nallocation failure 1 in f3tensor()");
+		wait_a_char();
 		exit(1);
 	}
 	t += NR_END;
@@ -468,6 +490,7 @@ int ***i3tensor(long nrl, long nrh,long ncl, long nch,long ndl,long ndh)
 	t[nrl]=(int **) malloc((size_t)((nrow*ncol+NR_END)*sizeof(int *)));
 	if (!t[nrl]) {
 		write(ERRORFILE,"\nallocation failure 2 in f3tensor()");
+		wait_a_char();
 		exit(1);
 	}
 	t[nrl] += NR_END;
@@ -477,6 +500,7 @@ int ***i3tensor(long nrl, long nrh,long ncl, long nch,long ndl,long ndh)
 	t[nrl][ncl]=(int *) malloc((size_t)((nrow*ncol*ndep+NR_END)*sizeof(int )));
 	if (!t[nrl][ncl]) {
 		write(ERRORFILE,"\nallocation failure 3 in f3tensor()");
+		wait_a_char();
 		exit(1);
 	}
 	t[nrl][ncl] += NR_END;
@@ -756,7 +780,8 @@ void tutest(float data1[],unsigned long n1,float data2[],unsigned long n2,float
  with unequal variances and its significance as prob, small values of prob indicating a 
 significant difference of means, numerical recipes p. 617*/
 {
-	float var1,var2,ave1,ave2;
+	unsigned long j,count=0;
+	float var1,var2,ave1,ave2,sd,cov=0.0F;
 	
 	if((n1<=1) || (n2<=1)) {
 		if((n1==0) || (n2==0)) 
@@ -778,10 +803,9 @@ significant difference of means, numerical recipes p. 617*/
 	}
     	
     *t=(float)((ave1-ave2)/sqrt(var1/n1+var2/n2));
-    /* df = (float)(sqr(var1/n1+var2/n2)/(sqr(var1/n1)/(n1-1)+sqr(var2/n2)/(n2-1)));*/
-/*    *prob=betai(0.5*df,0.5,df/(df+sqr(*t)));       */
+    //df = (float)(sqr(var1/n1+var2/n2)/(sqr(var1/n1)/(n1-1)+sqr(var2/n2)/(n2-1)));
     *prob=0.0F;	/*routine betai not yet implemented*/
-
+/*    *prob=betai(0.5*df,0.5,df/(df+sqr(*t)));       */
 }	/*end procedure tutest*/	
 
 
@@ -1018,6 +1042,7 @@ void resample_analyze(float *r_vector,unsigned long first,unsigned long last,
 	unsigned long low95,high95,low99,high99;
 	unsigned long n,i;
 	double average=0.,var=0.;
+	float ploworequal,phighorequal;
 	
 	r_stat->obs=observed;
 	n=last-first+1;
diff --git a/src/config.h.cmake b/src/config.h.cmake
index b5266f8..bd04228 100644
--- a/src/config.h.cmake
+++ b/src/config.h.cmake
@@ -2,6 +2,8 @@
 #ifndef SPAGEDI_CONFIG_H
 #define SPAGEDI_CONFIG_H
 
+#define SPAGEDI_VERSION "@SPAGEDI_VERSION@"
+
 #cmakedefine  HAVE_UNISTD_H 1
 #cmakedefine  HAVE_DIRECT_H 1
 #cmakedefine  HAVE_LIBGEN_H 1
diff --git a/src/main.c b/src/main.c
index 4c4517d..d47a0ae 100644
--- a/src/main.c
+++ b/src/main.c
@@ -1,5 +1,5 @@
 /************************************************************************* 
- * Copyright (c) 2002-2009 Olivier Hardy and Xavier Vekemans             *
+ * Copyright (c) 2002-2015 Olivier Hardy and Xavier Vekemans             *
  *                                                                       *
  * This program is free software: you can redistribute it and/or modify  *
  * it under the terms of the GNU General Public License as published by  *
@@ -24,8 +24,6 @@
 #include "Autocio.h"
 #include "Xatools.h"
 
-#include "package.h"
-
 long seed;
 
 
@@ -44,7 +42,7 @@ int main(int argc,char *argv[])
 	char catname[MAXNOM];	//identifier of each category name
 	int *cati;					//categ of ind i; categ of spatial group g
 	int m;							//number of loci
-	char namelocus[MMAX][MAXNOM];   //identifier of each locus (idem)
+//	char **namelocus;   //identifier of each locus (idem)
  	int ncoord;				//number of spatial coordinates
 	char namecoord[NCOORDMAX+1] [MAXNOM];		//identifier of each variable (idem)
 	double *xi,*yi,*zi;			//position in x, y, z coordinates of individuals (i)
@@ -59,8 +57,8 @@ int main(int argc,char *argv[])
 	int *Niskg;
 	int Npop,*popi,*Nip,*catp;
 	double *xp,*yp,*zp;
-	double *H2;
-	struct name *namei,*namecat,*namecati,*namesg,*nameskg,*namepop;
+	double *H2,*alpha;
+	struct name *namei,*namecat,*namecati,*namesg,*nameskg,*namepop,*namelocus;
 	int export;		//=1 if data to be exported to Genepop or Fstat format
 
 	int ndigit;				//number of digits per allele
@@ -72,16 +70,15 @@ int main(int argc,char *argv[])
 	double maxc[MAXINTERVALS];//max value for each distance interval
 	float givenF;
 
-	int p,p1,l;	
+	int i,p,p1,l,linit,k,newi,*newii,*oldii;	
 
-	int ***gilc,***gilcmix;			//genotype of ind i at locus l and chromosome a
-	
+	int ***gilc,***gilcmix,a1,a2;			//genotype of ind i at locus l and chromosome a
 	int **allelesizela;	//allele lenght (number defined in the data file)
 	float ***Mgdlaa;	//genetic distance between alleles at each locus
-	float ***Ppla,**Hepl,**Nnielsenpl,**RA,**hTpl,**vTpl,**Dmpl,**Dwmpl,**Masizepl,**Vasizepl,**Fpl,**Fplmix,***Flpp;		//matrix of expected heterozygosity, allele frequencies, mean of allele size, and variance of allele size for locus l and pop p
-	struct resample_stat_type **r_statFlp = NULL;
+	float ***Ppla,**Hepl,**Hopl,**Nnielsenpl,**RA,**hTpl,**vTpl,**Dmpl,**Dwmpl,**Masizepl,**Vasizepl,**Fpl,**Fplmix,***Flpp;		//matrix of expected heterozygosity, allele frequencies, mean of allele size, and variance of allele size for locus l and pop p
+	struct resample_stat_type **r_statFlp=NULL;
 	int **Nallelepl,**Nvalgenpl,K=0;	//number of alleles per locus; tot # of defined gene per locus (=ploidy*#ind, except 0 values)
-	int *Nallelel,Ngivenallelel[MMAX];
+	int *Nallelel,*Ngivenallelel=NULL;
 	int StatType;	//StatType=1 for pairs of ind, 2 for pairs of spatial groups, 3 for pairs of categorical groups
 	int FreqRef;	//FreqRef=-1 when ref allele frequencies are given in data file, =0 when it refers to the whole sample, =1 when it refers to a given category, =-2 when allele freq = unweighted mean freq over categories 
 	float **givenPla = NULL;//reference allele frequencies given
@@ -100,8 +97,9 @@ int main(int argc,char *argv[])
 	int Rbtwloc;			//=1 if the mean inter-locus correlation coefficients for genetic distances must be computed
 	int permutdetails;
 	int printdistmatrix=0;	// 1 if genetic and spatial distances matrices are to be printed
-	int permutalleles=0;	//=0 if no estimate of inbreeding asked
+	int estinbreeding=0,permutalleles=0,estselfing=0;	//=0 if no estimate of inbreeding asked
 
+	FILE *filep;
 	smess=cvector(0,SMAX);
 
 /*
@@ -113,7 +111,7 @@ strcpy(instrfile,"instruction.txt");
 	
 	printf("\n%s \n   - a program for Spatial Pattern Analysis of Genetic Diversity\n"
 	       "               Written by Olivier Hardy & Xavier Vekemans\n" 
-	       "               Contributions by Reed Cartwright\n", VERSION);
+	       "               Unix port by Reed Cartwright\n", VERSION);
 	
 	//get names of data and output files
 	get_input_output_file_names(argc,argv,inputfile,outputfile,instrfile);
@@ -121,7 +119,7 @@ strcpy(instrfile,"instruction.txt");
 	//write common errors in error file
 	commom_errors();
 
-	readbasicinfoF(inputfile,&n,&Ncat,&ncoord,&m,&ndigit,&ploidy,catname,namecoord,namelocus,&nc,maxc);
+	readbasicinfoF(inputfile,&n,&Ncat,&ncoord,&m,&ndigit,&ploidy,&nc,maxc);
 	if(ndigit<=0) ploidy=1; //case of a dominant marker. ndigit is the value attributed to missing data
     // initializations
 	ploidyi=ivector(0,n);
@@ -137,6 +135,7 @@ strcpy(instrfile,"instruction.txt");
 	catskg=ivector(0,n);
 	Nallelel=ivector(0,m);
 	H2=dvector(0,m);
+	alpha=dvector(0,m);
 
 	gilc=i3tensor(0,n,0,m,0,ploidy-1);
 	allelesizela=imatrix(0,m,0,2+(int)pow(10,ndigit));
@@ -145,13 +144,14 @@ strcpy(instrfile,"instruction.txt");
 	if((namecat=(struct name*) malloc((n+1)*sizeof(struct name)))==NULL) exit(101);
 	if((namesg=(struct name*) malloc((n+1)*sizeof(struct name)))==NULL) exit(102);
 	if((nameskg=(struct name*) malloc((n+1)*sizeof(struct name)))==NULL) exit(103);
+	if((namelocus=(struct name*) malloc((m+1)*sizeof(struct name)))==NULL) exit(104);
 
-	readsecondinfoF(inputfile,n,namei,Ncat,namecat,namecati,cati,ncoord,xi,yi,zi,m,ndigit,ploidy,gilc,Nallelel,allelesizela,ploidyi,Niploidy,H2);
+	readsecondinfoF(inputfile,n,namei,catname,namecoord,Ncat,namecat,namelocus,namecati,cati,ncoord,xi,yi,zi,m,ndigit,ploidy,gilc,Nallelel,allelesizela,ploidyi,Niploidy,H2,alpha);
 	for(l=1;l<=m;l++) if(maxnal<Nallelel[l]) maxnal=Nallelel[l];   //define the max # of alleles
 	define_groups(n,namei,xi,yi,zi,Ncat,namecat,namecati,cati,Nik,&Nsg,namesg,sgi,Nig,&Nskg,nameskg,skgi,catskg,Niskg,1);
 	displaybasicinfoF(argc,inputfile,outputfile,n,Ncat,Nik,ncoord,m,ndigit,ploidy,ploidyi,Niploidy,namelocus,namecoord,namecat,nc,maxc,Nsg,Nig,Nskg,Niskg);	
 	
-	define_analysisF(argc,instrfile,n,ploidy,ndigit,m,Ncat,Nsg,Nskg,ncoord,&StatType,&NS,Stat,&TypeComp,&cat1,&cat2,namecat,&FreqRef,&givenF,&printallelefreq,&JKest,&printdistmatrix,Npermut,&dijmin,&dijmax,&writeresampdistr,&regdetails,&varcoef,&Rbtwloc,&sigmaest,&density,&dwidth,&permutdetails,&distm,inputfile,distfile,freqfile,&K,&alleledist,alleledistfile,&export,&seed);
+	define_analysisF(argc,instrfile,n,ploidy,ndigit,m,Ncat,Nsg,Nskg,ncoord,&StatType,&NS,Stat,&TypeComp,&cat1,&cat2,namecat,&FreqRef,&givenF,&printallelefreq,&JKest,&printdistmatrix,Npermut,&dijmin,&dijmax,&writeresampdistr,&regdetails,&varcoef,&Rbtwloc,&estselfing,&sigmaest,&density,&dwidth,&permutdetails,&distm,inputfile,distfile,freqfile,&K,&alleledist,alleledistfile,&export,&seed);
 	
 	
 	
@@ -207,6 +207,7 @@ strcpy(instrfile,"instruction.txt");
 	//read reference allele frequencies
 	if(FreqRef==-1){
 		givenPla=matrix(1,m,0,2+(int)pow(10,ndigit));
+		Ngivenallelel=ivector(0,m);
 		read_allele_frequencies(freqfile,m,namelocus,Nallelel,allelesizela,givenPla,Ngivenallelel);
 	}
 
@@ -227,6 +228,7 @@ strcpy(instrfile,"instruction.txt");
 	Nvalgenpl=imatrix(0,Npop,0,m);
 	RA=matrix(0,Npop,0,m);
 	Hepl=matrix(0,Npop,0,m);
+	Hopl=matrix(0,Npop,0,m);
 	hTpl=matrix(0,Npop,0,m);
 	vTpl=matrix(0,Npop,0,m);
 	Dmpl=matrix(0,Npop,0,m);
@@ -237,7 +239,7 @@ strcpy(instrfile,"instruction.txt");
 
 	printf("\n\n\nThe program is now doing the analyses\nTo stop it before the end, press 'Ctrl' + 'c'");
 	printf("\n\nComputing allele frequencies. Please, wait.");
-	compute_allele_freq(n,Npop,popi,m,ndigit,ploidy,gilc,ploidyi,Nallelel,allelesizela,Mgdlaa,alleledist,Ppla,Nallelepl,Nmissinggenotpl,Nincompletegenotpl,Nvalgenpl,Nnielsenpl,RA,&K,Hepl,hTpl,vTpl,Dmpl,Dwmpl,Masizepl,Vasizepl);
+	compute_allele_freq(n,Npop,popi,m,ndigit,ploidy,gilc,ploidyi,Nallelel,allelesizela,Mgdlaa,alleledist,Ppla,Nallelepl,Nmissinggenotpl,Nincompletegenotpl,Nvalgenpl,Nnielsenpl,RA,&K,Hopl,Hepl,hTpl,vTpl,Dmpl,Dwmpl,Masizepl,Vasizepl);
 	
 //	compute_F_R_stat(n,Npop,0,0,popi,m,Nallelel,ploidy,gilc,allelesizela,NS,Stat,FstatSlr,corrSlij,Fpl,0,0,1);
 	compute_FiPop(n,Npop,popi,m,Nallelel,ploidy,gilc,allelesizela,Fpl);
@@ -249,7 +251,7 @@ strcpy(instrfile,"instruction.txt");
 		Flpp=f3tensor(0,m,0,Npop,0,Npermut[3]);
 		Fplmix=matrix(0,Npop,0,m);
 		for(l=0;l<=m;l++)for(p1=0;p1<=Npop;p1++) r_statFlp[l][p1].n=r_statFlp[l][p1].nd=0;
-        for(l=0;l<=m;l++)for(p1=0;p1<=Npop;p1++) r_statFlp[l][p1].obs=r_statFlp[l][p1].mean=r_statFlp[l][p1].sd=r_statFlp[l][p1].low95=r_statFlp[l][p1].high95=r_statFlp[l][p1].plow=r_statFlp[l][p1].phigh=r_statFlp[l][p1].pbil=(float)MISSVAL;		
+		for(l=0;l<=m;l++)for(p1=0;p1<=Npop;p1++) r_statFlp[l][p1].obs=r_statFlp[l][p1].mean=r_statFlp[l][p1].sd=r_statFlp[l][p1].low95=r_statFlp[l][p1].high95=r_statFlp[l][p1].plow=r_statFlp[l][p1].phigh=r_statFlp[l][p1].pbil=(float)MISSVAL;
 		for(l=0;l<=m;l++)for(p1=0;p1<=Npop;p1++) Flpp[l][p1][0]=Fpl[p1][l];
 
 		printf("\nTesting inbreeding coef: permutations of gene copies among individuals (%i)\n",Np);
@@ -269,14 +271,17 @@ strcpy(instrfile,"instruction.txt");
 		free_matrix(Fplmix,0,Npop,0,m);
 	} 
 	else Npermut[3]=0;
-	write_allele_freq(outputfile,n,m,namelocus,ndigit,ploidy,Npop,Nip,namepop,StatType,NS,Stat,allelesizela,Nallelepl,Ppla,Nnielsenpl,RA,K,Hepl,hTpl,vTpl,Dmpl,Dwmpl,Masizepl,Vasizepl,Nmissinggenotpl,Nincompletegenotpl,Nvalgenpl,printallelefreq,FreqRef,Ngivenallelel,givenPla,Fpl,Npermut[3],r_statFlp);
-	
+	write_allele_freq(outputfile,n,m,namelocus,ndigit,ploidy,Npop,Nip,namepop,StatType,NS,Stat,allelesizela,Nallelepl,Ppla,Nnielsenpl,RA,K,Hopl,Hepl,hTpl,vTpl,Dmpl,Dwmpl,Masizepl,Vasizepl,Nmissinggenotpl,Nincompletegenotpl,Nvalgenpl,printallelefreq,FreqRef,Ngivenallelel,givenPla,Fpl,Npermut[3],r_statFlp);
+
+	//estimate selfing rate within pop assuming Mixed Mating Model using identity disequilibrium
+	if(estselfing) selfing_estimation(n,Npop,popi,m,ploidy,gilc,ploidyi,alpha,outputfile,namelocus,namepop,Npermut[3],&seed);
+
 	ntot=n;	//restrict n (#indiv) to the indiv used
 	if(cat1 && !cat2) { n=Nik[cat1]; for(p=1;p<=Npop;p++) if(catp[p]>1) Npop=p-1; }
 	if(cat1 && cat2) { n=Nik[cat1]+Nik[cat2];	for(p=1;p<=Npop;p++) if(catp[p]>2) Npop=p-1; }
 
-	if(StatType==1) mainAnalysisBtwInd(argc,n,ntot,xi,yi,zi,Mdij,sgi,Nsg,skgi,Nskg,catskg,cati,Ncat,Nik,nc,maxc,dijmin,dijmax,m,ndigit,ploidy,ploidyi,Nallelel,Nallelepl,Nvalgenpl,gilc,Ppla,allelesizela,Masizepl,Vasizepl,Mgdlaa,givenF,H2,namei,namelocus,namecat,TypeComp,cat1,cat2,FreqRef,givenPla,Ngivenallelel,JKest,NS,Stat,printdistmatrix,sigmaest,density,dwidth,Npermut,permutalleles,writeresampdistr,regdetails,varcoef,Rbtwloc,permutdetails,outputfile);
-	if(StatType>=2) mainAnalysisBtwPop(argc,StatType,n,xp,yp,zp,Mdij,popi,Npop,catp,cati,Ncat,nc,maxc,dijmin,dijmax,m,ndigit,ploidy,ploidyi,Nallelel,Nvalgenpl,gilc,Ppla,allelesizela,Masizepl,Vasizepl,Mgdlaa,namepop,namelocus,namecat,PWstat,TypeComp,cat1,cat2,FreqRef,JKest,NS,Stat,printdistmatrix,Npermut,permutalleles,writeresampdistr,regdetails,varcoef,Rbtwloc,permutdetails,outputfile);
+	if(StatType==1 && NS>0) mainAnalysisBtwInd(argc,n,ntot,xi,yi,zi,Mdij,sgi,Nsg,skgi,Nskg,catskg,cati,Ncat,Nik,nc,maxc,dijmin,dijmax,m,ndigit,ploidy,ploidyi,Nallelel,Nallelepl,Nvalgenpl,gilc,Ppla,allelesizela,Masizepl,Vasizepl,Mgdlaa,givenF,H2,namei,namelocus,namecat,TypeComp,cat1,cat2,FreqRef,givenPla,Ngivenallelel,JKest,NS,Stat,printdistmatrix,sigmaest,density,dwidth,Npermut,permutalleles,writeresampdistr,regdetails,varcoef,Rbtwloc,permutdetails,outputfile);
+	if(StatType>=2 && NS>0) mainAnalysisBtwPop(argc,StatType,n,xp,yp,zp,Mdij,popi,Npop,catp,cati,Ncat,nc,maxc,dijmin,dijmax,m,ndigit,ploidy,ploidyi,Nallelel,Nvalgenpl,gilc,Ppla,allelesizela,Masizepl,Vasizepl,Mgdlaa,namepop,namelocus,namecat,PWstat,TypeComp,cat1,cat2,FreqRef,JKest,NS,Stat,printdistmatrix,Npermut,permutalleles,writeresampdistr,regdetails,varcoef,Rbtwloc,permutdetails,outputfile);
 
 	sprintf(smess,"\n\n ");
 	write_tofile_only(outputfile,smess);
@@ -292,7 +297,7 @@ void mainAnalysisBtwPop(int argc,int StatType,int n,double *xp,double *yp,double
 	int *catp,int *cati,int Ncat,int nc,double *maxc,float dijmin,float dijmax,
 	int m,int ndigit,int ploidy,int *ploidyi,int *Nallelel,int **Nvalgenkl,int ***gilc,
 	float ***Ppla,int **allelesizela,float **Masizekl,float **Vasizekl,float ***Mgdlaa,
-	struct name namepop[],char namelocus[][MAXNOM],struct name namecat[],
+	struct name namepop[],struct name namelocus[],struct name namecat[],
 	int PWstat,int TypeComp,int cat1,int cat2,int FreqRef,int JKest,int NS,int Stat[],int printdistmatrix,
 	int Npermut[],int permutalleles,int writeresampdistr,int regdetails,int varcoef,int Rbtwloc,int permutdetails,char outputfile[])
 {
@@ -310,6 +315,8 @@ void mainAnalysisBtwPop(int argc,int StatType,int n,double *xp,double *yp,double
 	double *xpmix,*ypmix,*zpmix,**Mdijmix;
 	struct resample_stat_type **r_statSlc[12],**r_statFSlr[12]; //results of resampling for each loci and each dist class
 	int comp,permutbypairs;
+	char resampfile[50];			//name of file for resampling distrib
+	float missdat=0.F;
 	long seedinit;
 	int F_Rstat,G_Nstat,pairwGst_Nst,pairwGij_Nij;  //=0 or 1 according to computations to do
 
@@ -333,7 +340,13 @@ void mainAnalysisBtwPop(int argc,int StatType,int n,double *xp,double *yp,double
 		corrSlij[S]=f3tensor(linit,m,0,Npop,0,Npop);
 		if(JKest) corrSlc[S]=matrix(-m,m+4,-20,nc+2);
 		else corrSlc[S]=matrix(0,m+4,-20,nc+2);
-		if(Rbtwloc) {RSll[S]=f3tensor(0,1,0,m,0,m); V[S]=f3tensor(0,1,0,5,0,2); R2pl[S]=matrix(0,1,-m,m);}
+		if(Rbtwloc) {
+			RSll[S]=f3tensor(0,1,0,m,0,m); V[S]=f3tensor(0,1,0,5,0,2); R2pl[S]=matrix(0,1,-m,m);
+		} else {
+			RSll[S]=NULL;
+			V[S]=NULL;
+			R2pl[S]=NULL;
+		}
 		FstatSlr[S]=matrix(0,m+2,0,4);
 		for(l=0;l<=m+2;l++)for(r=0;r<=4;r++) FstatSlr[S][l][r]=(float)MISSVAL;
 	}
@@ -341,6 +354,8 @@ void mainAnalysisBtwPop(int argc,int StatType,int n,double *xp,double *yp,double
 	if(m==1) linit=1;
 	else linit=0;
 
+	//if(ploidy>1) estinbreeding=1;
+
 	F_Rstat=G_Nstat=pairwGst_Nst=pairwGij_Nij=0;
 	for(S=1;S<=NS;S++){
 		if(Stat[S]<=8) F_Rstat=1;
@@ -641,7 +656,7 @@ void mainAnalysisBtwInd(int argc,int n,int ntot,double *xi,double *yi,double *zi
 	int *catskg,int *cati,int Ncat,int *Nik,int nc,double *maxc,float dijmin,float dijmax,
 	int m,int ndigit,int ploidy,int *ploidyi,int *Nallelel,int **Nallelekl,int **Nvalgenkl,int ***gilc,
 	float ***Ppla,int **allelesizela,float **Masizekl,float **Vasizekl,float ***Mgdlaa,float givenF,double *H2,
-	struct name namei[],char namelocus[][MAXNOM],struct name namecat[],
+	struct name namei[],struct name namelocus[],struct name namecat[],
 	int TypeComp,int cat1,int cat2,int FreqRef,float **givenPla,int *Ngivenallelel,int JKest,int NS,int Stat[],int printdistmatrix,float sigmaest,float density,float dwidth,
 	int Npermut[],int permutalleles,int writeresampdistr,int regdetails,int varcoef,int Rbtwloc,int permutdetails,char outputfile[])
 {
@@ -656,10 +671,11 @@ void mainAnalysisBtwInd(int argc,int n,int ntot,double *xi,double *yi,double *zi
 
 	float ***corrSlcp[12];
 	int Np,p,**allelesizelamix,***gilcmix,*sgimix;
-	double *xmix,*ymix,*zmix,**Mdijmix;
+	double *xmix,*ymix,*zmix,*xpmix,*ypmix,*zpmix,**Mdijmix;
 	float ***Mgdlaamix;
 	struct resample_stat_type **r_statSlc[12]; //results of resampling for each loci and each dist class
 
+	char resampfile[50];			//name of file for resampling distrib
 	float missdat=0.F;
 	long seedinit;
 
@@ -686,7 +702,7 @@ void mainAnalysisBtwInd(int argc,int n,int ntot,double *xi,double *yi,double *zi
 	if(JKest) linit=-m;
 	if(m==1) linit=1;
 	if(TypeComp!=1){
-		if(NS*(m-linit+1)*n*n*4 > 250000000) {printf("\n\nSPAGeDi will attempt to allocate ca. %i Mo of RAM and may fail,\nin which case you should use a computer with more memory,\nselect just one statistic, or reduce your data set\nPress RETURN to go on",(int)(NS*(m-linit+1)*n*n*4./1000000.)); wait_a_char();}  
+		if(NS*(m-linit+1)*n*n*4. > 250000000) {printf("\n\nSPAGeDi will attempt to allocate ca. %i Mo of RAM and may fail,\nin which case you should use a computer with more memory,\nselect just one statistic, or reduce your data set\nPress RETURN to go on",(int)(NS*(m-linit+1)*n*n*4./1000000.)); wait_a_char();}  
 		for(S=1;S<=NS;S++) corrSlij[S]=f3tensor(linit,m,0,n,0,n);
 	}
 	if(TypeComp==1) for(S=1;S<=NS;S++){//create set of small matrices for within cat i,j pairs
@@ -701,7 +717,21 @@ void mainAnalysisBtwInd(int argc,int n,int ntot,double *xi,double *yi,double *zi
 	}
 	if(JKest) for(S=1;S<=NS;S++) corrSlc[S]=matrix(-m,m+4,-28,abs(nc)+2);
 	else for(S=1;S<=NS;S++) corrSlc[S]=matrix(0,m+4,-28,abs(nc)+2);
-	if(Rbtwloc)for(S=1;S<=NS;S++) {RSll[S]=f3tensor(0,1,0,m,0,m); V[S]=f3tensor(0,1,0,5,0,2); R2pl[S]=matrix(0,1,-m,m);}
+	if(Rbtwloc){
+		for(S=1;S<=NS;S++) {
+			RSll[S]=f3tensor(0,1,0,m,0,m);
+			V[S]=f3tensor(0,1,0,5,0,2);
+			R2pl[S]=matrix(0,1,-m,m);
+		}
+	} else {
+		for(S=1;S<=NS;S++) {
+			RSll[S]=NULL;
+			V[S]=NULL;
+			R2pl[S]=NULL;
+		}
+	}
+	// estinbreeding=0;
+	// for(S=1;S<=NS;S++) if(ploidy>1 && (Stat[S]==1 || Stat[S]==2 || Stat[S]==5)) estinbreeding=1; 
 	
 	//stat computations
 	printf("\nComputing pairwise statistics between individuals. Please, wait.");
@@ -814,6 +844,7 @@ void mainAnalysisBtwInd(int argc,int n,int ntot,double *xi,double *yi,double *zi
 		if((Np=Npermut[4])){ 
 			seed=seedinit;
 			printf("\nPermutations of allele sizes (%i)\n",Np);
+			//Statbis[1]=5;
 			maxnal=0;//define the max # of alleles
 			for(l=1;l<=m;l++) if(maxnal<Nallelel[l]) maxnal=Nallelel[l];
 			allelesizelamix=imatrix(0,m,0,maxnal);
@@ -822,7 +853,7 @@ void mainAnalysisBtwInd(int argc,int n,int ntot,double *xi,double *yi,double *zi
 				if(Np>=100){if((p%(Np/10))==0 || (p<=(Np/10) && (p%(Np/100))==0) ) printf(" %i",p);}
 				else if((p%(Np/10))==0) printf(" %i",p);
 				permut_allelesizes(m,Nallelel,allelesizela,allelesizelamix,&seed);
-				permut_genetic_distances(m,Nallelel,Mgdlaa,Mgdlaamix,&seed);
+				if(Mgdlaa[0][0][0]) permut_genetic_distances(m,Nallelel,Mgdlaa,Mgdlaamix,&seed);
 				compute_pairwise_corr_F(n,ntot,Ncat,cati,m,ndigit,ploidy,missdat,gilc,Nallelel,allelesizelamix,Mgdlaamix,corrSlij,NS,Stat,FreqRef,givenPla,Ngivenallelel,TypeComp,givenF,H2,0,0);
 				for(S=1;S<=NS;S++)if(Stat[S]==5 || Stat[S]==14){
 					compute_corr_per_dist_class (n,m,nc,maxc,Ncat,cati,1,TypeComp,FreqRef,0,xi,yi,zi,Mdij,sgi,dijmin,dijmax,corrSlij[S],corrSlc[S],RSll[S],0,V[S],R2pl[S],&seed,0);
diff --git a/src/package.h b/src/package.h
index 34092c8..9cb1ca8 100644
--- a/src/package.h
+++ b/src/package.h
@@ -1,13 +1,13 @@
 #ifndef PACKAGE_H
 
-#ifdef HAVE_VERSION_H
-#	include "spagedi_version.h"
+#ifdef HAVE_CONFIG_H
+#	include "config.h"
 #endif
 
 #ifdef PACKAGE_STRING
 #	define VERSION PACKAGE_STRING
 #else
-#	define  VERSION "SPAGeDi 1.4a (build 11-01-2013)"
+#	define VERSION "SPAGeDi " SPAGEDI_VERSION
 #endif
 
 #endif