All Possible Regressions with Less Computation

Two methods are given for computing all possible regressions for a set of independent variables. One produces all the usual regression statistics; the other gives only the sums of squares of residuals. Both require less computation than other methods of computing all possible regressions and the second may compare favorably with the procedure suggested by Hocking and Leslie for finding the best subset without evaluating all possible subsets.