Introduction to Regression Procedures

Response Surface Regression: The RSREG Procedure

PROC RSREG fits a quadratic response-surface model, which is useful in searching for factor values that optimize a response. The following features in PROC RSREG make it preferable to other regression procedures for analyzing response surfaces:

  • automatic generation of quadratic effects

  • a lack-of-fit test

  • solutions for critical values of the surface

  • eigenvalues of the associated quadratic form

  • a ridge analysis to search for the direction of optimum response

Last updated: December 09, 2022