diff --git a/CHANGELOG.md b/CHANGELOG.md
index 467d1cd..f372f48 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,8 +1,12 @@
 # Changelog
 
+### `0.2.2`
+
+- Added dbt documentation of the `ols()` macro.
+
 ### `0.2.1`
 
-- Added `.dbtignore`
+- Added `.dbtignore`.
 
 ### `0.2.0`
 
diff --git a/README.md b/README.md
index 524c277..340c8e3 100644
--- a/README.md
+++ b/README.md
@@ -58,7 +58,7 @@ The following example runs a linear regression of 3 columns `xa + xb + xc` on `y
 }}
 select * from {{
   dbt_linreg.ols(
-    table=ref('simple_matrix')
+    table=ref('simple_matrix'),
     endog='y',
     exog=['xa', 'xb', 'xc'],
     format='long',
diff --git a/dbt_project.yml b/dbt_project.yml
index ef69943..79c08b3 100644
--- a/dbt_project.yml
+++ b/dbt_project.yml
@@ -1,5 +1,5 @@
 name: "dbt_linreg"
-version: "0.2.1"
+version: "0.2.2"
 
 # 1.2 is required because of modules.itertools.
 require-dbt-version: [">=1.2.0", "<2.0.0"]
@@ -10,3 +10,4 @@ target-path: "target"
 clean-targets: ["target", "dbt_modules", "dbt_packages"]
 macro-paths: ["macros"]
 log-path: "logs"
+profile: "dbt_linreg_profile"
diff --git a/macros/schema.yml b/macros/schema.yml
new file mode 100644
index 0000000..79b69f2
--- /dev/null
+++ b/macros/schema.yml
@@ -0,0 +1,101 @@
+version: 2
+
+macros:
+  - name: ols
+    description: |-
+      **dbt_linreg** is an easy way to perform linear regression and ridge regression in SQL with OLS.
+
+      The `dbt_linreg.ols()` macro is the core, high-level API for the **dbt_linreg** package. This macro will calculate and output the coefficients of a linear regression specified by the user. The regression can also be L2 regularized using the `alpha` argument, i.e. ridge regression is also supported.
+
+      Here is an example of a dbt model that selects from a dbt model called `simple_matrix`, and runs a regression on `y` using feature columns `xa`, `xb`, and `xc`:
+
+      {% raw %}
+      ```sql
+      {{
+        config(
+          materialized="table"
+        )
+      }}
+      select * from {{
+        dbt_linreg.ols(
+          table=ref('simple_matrix'),
+          endog='y',
+          exog=['xa', 'xb', 'xc'],
+          format='long',
+          format_options={'round': 5}
+        )
+      }}
+      ```
+      {% endraw %}
+
+      Please see the README / full documentation for more information: [https://dwreeves.github.io/dbt_linreg/](https://dwreeves.github.io/dbt_linreg/)
+    arguments:
+      - name: table
+        type: string
+        description: Name of table or CTE to pull the data from. You can use `ref()` or `source()` here if you'd like.
+      - name: endog
+        type: string
+        description: The endogenous variable / y variable / target variable of the regression. (You can also specify `y=...` instead of `endog=...` if you prefer.)
+      - name: exog
+        type: string or list of strings
+        description: The exogenous variables / X variables / features of the regression. (You can also specify `x=...` instead of `exog=...` if you prefer.)
+      - name: add_constant
+        type: boolean
+        description: 'If true, a constant term is added automatically to the regression. (Default: `true`)'
+      - name: format
+        type: string
+        description: |-
+          Either "wide" or "long" format for coefficients. See **Formats and format options** in the README for more.
+          - If `wide`, the variables span the columns with their original variable names, and the coefficients fill a single row.
+          - If `long`, the coefficients are in a single column called `coefficient`, and the variable names are in a single column called `variable_name`.
+      - name: format_options
+        type: dict
+        description: See **Formats and format options** section in the README for more.
+      - name: alpha
+        type: number or list of numbers
+        description: If not null, the regression will be run as a ridge regression with a penalty of `alpha`. See **Notes** section in the README for more information.
+      - name: method
+        type: string
+        description: The method used to calculate the regression. Only `chol` and `fwl` are valid inputs for now. See **Methods and method options** in the README for more.
+      - name: method_options
+        type: dict
+        description: Options specific to the estimation method. See **Methods and method options** in the README for more.
+  # Everything down here is just for intermediary calculations.
+  # Better to hide this stuff to reduce confusion when reading docs.
+  # The truly curious can just look at the source code.
+  - name: _alias_exog
+    docs:
+      show: false
+  - name: _alias_gb_cols
+    docs:
+      show: false
+  - name: _format_wide_variable_column
+    docs:
+      show: false
+  - name: _gb_cols
+    docs:
+      show: false
+  - name: _join_on_groups
+    docs:
+      show: false
+  - name: _maybe_round
+    docs:
+      show: false
+  - name: _strip_quotes
+    docs:
+      show: false
+  - name: _unalias_gb_cols
+    docs:
+      show: false
+  - name: default__regress
+    docs:
+      show: false
+  - name: final_select
+    docs:
+      show: false
+  - name: regress
+    docs:
+      show: false
+  - name: snowflake__regress
+    docs:
+      show: false