ORTHOREG Procedure

The ORTHOREG procedure fits general linear models by the method of least squares. Other SAS/STAT software procedures, such as GLM and REG, fit the same types of models, but PROC ORTHOREG can produce more accurate estimates than other regression procedures when your data are ill-conditioned.

PROC ORTHOREG has been greatly expanded in this release to provide postfitting inferences with the inclusion of the ESTIMATE, LSMEANS, LSMESTIMATE, SLICE, and TEST statements. In addition, the EFFECTPLOT statement produces a graphical display of the fitted model.

PROC ORTHOREG also includes the experimental EFFECT statement, which enables you to construct a much richer family of linear models than you can traditionally define with the CLASS statement.

The STORE statement enables you to save the context and results of the statistical analysis for further processing with the PLM procedure.