Fits linear elastic net regression models using Python sklearn classes.
Fits regularized linear regression models combining L1 and L2 loss penalties using the Python sklearn.linear_model.ElasticNet class for a dependent variable on one or more independent variables, and includes optional modes to display trace plots and to select L1 ratio and alpha hyperparameter values based on crossvalidation.