Elastic Net
The new linear elastic net extension procedure estimates regularized linear regression models for a dependent variable on one or more independent variables. The graph represents example output for the procedure.
Lasso
The new linear lasso extension estimates L1 loss regularized linear regression models for a dependent variable on one or more independent variables, and includes optional modes to display trace plots and to select the alpha hyperparameter value based on cross validation. The graph represents example output for the procedure.
Ridge
The new linear ridge extension procedure estimates L2 or squared loss regularized linear regression models for a dependent variable on one or more independent variables, and includes optional modes to display trace plots and to select the alpha hyperparameter value based on cross validation. The graph represents example output for the procedure.
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