SAS/STAT Software

RSREG Procedure

The RSREG procedure uses the method of least squares to fit quadratic response surface regression models. Response surface models are a kind of general linear model in which attention focuses on characteristics of the fit response function and in particular, where optimum estimated response values occur. The following are highlights of the RSREG procedure's features:

  • performs a lak of fit test
  • enables you to test for the significance of individual factors
  • enables you to analyze the canonical structure of the estimated response surface
  • computes the ridge of optimum response
  • predicts new values of the response
  • performs BY group processing, which enables you to obtain separate analyses on grouped observations
  • performs weighted estimation
  • creates a SAS data set that contains statistics for each observation in the input data set
  • creates a SAS data set that corresponds to any table
  • automatically produces graphs by using ODS Graphics

For further details see the SAS/STAT User's Guide: The RSREG Procedure
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