Predictions, Lasso Regression, Model Averaging, Spline Regression, Crossvalidation.
intercept and at each step adds the effect that shows the largest contribution to the model. Backward Elimination: begins with the full model and at each step deletes the effect that shows the smallest contribution to the model. Stepwise Selection: modification of the forward selection technique