• Practice best subset selection and stepwise selection for reducing the number of predictor variables in regression focusing on prediction
• Assess predictive ability of the model developed in training data in test data
• Indirectly estimate test error by adjusting training error to account for bias due to overfitting (C_p, AIC, BIC, adjusted R²);
• Directly estimate test error using validation set approach or cross-validation approach.

Textbook reading: Consult Course Schedule