The LARSPredict function has two required input tables, the table that contains the new data (described by the following table) and the model table generated by the LARS function (described in the Output section). The data table can have columns that are not predictors, but the function ignores them.
Column Name | Data Type | Description |
---|---|---|
predictor | Same as in the model table generated by the LARS function | Contains the same predictors as the model table. |