Predictions, Lasso Regression, Model Averaging, Spline Regression, Crossvalidation.
procedure fits models by using any one of a number of linear predictive methods, including partial least squares (PLS). The techniques implemented in the PLS procedure have the additional goal of accounting for variation in the predictors, under the assumption that directions in the predictor space