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ORTHOREG Procedure


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

  • uses Gentleman-Givens transformations to update and compute the upper triangular matrix R of the QR decomposition of the data matrix
  • enables you to construct special collections of columns for design matrices
  • produces a display of the fitted model and provides options for changing and enhancing the displays
  • enables you to perform F tests for model effects that test Type I, Type II, or Type III hypotheses
  • enables you to obtain custom hypothesis tests
  • computes and compares least squares means (LS-means) of fixed effects
  • provides a general mechanism for performing a partitioned analysis of the LS-means for an interaction
  • enables you to save the context and results of the statistical analysis in an item store, which can be processed by the PLM procedure
  • performs weighted estimation
  • performs BY group processing, which enables you to obtain separate analyses on grouped observations
  • creates SAS data sets for analysis of variance, fit statistics, table of class variables, and parameter estimates

For further details see the SAS/STAT User's Guide: The ORTHOREG Procedure
( PDF | HTML )

Examples