a method for predicting an outcome variable based on a series of equations formed by all possible subsets of predictors from a finite pool of predictors. The “best” subset is identified using criteria established by the researcher, such as the value of Akaike’s information criterion or of the coefficient of multiple determination. Also called all-possible-subsets multiple regression; setwise regression.