Predictions, Lasso Regression, Model Averaging, Spline Regression, Crossvalidation.
coefficients. Most useful in the presence of multicollinearity. Available in PROC REG. LASSO (Least Absolute Shrinkage and Selection Operator — L1 penalization) Introduces bias to reduce variance of the estimate (penalization). Estimates can shrink towards zero. Selection method. Adaptive LASSO