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
( PDF  HTML )
Examples