This macro computes the model fits, residuals, deleted fits, deleted prediction sum of squares ((PRESS) residuals, and the PRESS statistic in the original units of the response when a power transformation of the response is applied in a linear regression.
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Suppose you have one predictor variable stored in C1, and the response variable is in C2. The transformation parameter value was -1.
Please enter the number of predictor variables in the regression... DATA> 1 Please enter column number of predictor variable... DATA> 1 Please enter column number of response variable... DATA> 2 Please enter response power transformation parameter value... DATA> -1 <-- reciprocal transformation of response specified
Allen, D. M. (1971), "The Prediction Sum of Squares as a Criterion for Selecting Predictor Variables," Technical Report Number 23, Department of Statistics, University of Kentucky.
Delozier, M. R. (2004), Introduction to Applied Industrial Statistics, Industrial Short-Course Participant Manual.
Myers, R. H. (1990), Classical and Modern Regression