Predictions, Lasso Regression, Model Averaging, Spline Regression, Crossvalidation.
lot of variables to include, these methods have been tried and tested. Cross-validation & Penalized Selection methods are extremely helpful in preventing overfitting. Lets advance to the last part of this blog, model averaging. So, in PROC GLMSELECT there is an additional safeguard for overfitting.