A model-building technique which finds subsets of predictor variables that best predict responses on a dependent variable by linear (or nonlinear) regression. For an overview of best subset regression see the General Stepwise Regression chapter; for nonlinearstepwise and best subset regression, see the Generalized Linear Models chapter.