The LARS function has one required input table, which contains the response column and predictor columns. The input table can have additional columns, but the function ignores them.
| Column Name | Data Type | Description |
|---|---|---|
| response | Numeric or, if both Intercept and Normalize are 'false', BOOLEAN | Contains the response variables. |
| predictor | Numeric or, if both Intercept and Normalize are 'false', BOOLEAN | Contains the predictors. The table has the predictor columns specified by the ColumnNames argument. |
The LARS function skips input rows that contain NULL values.