Overview: 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.

In addition to fitting a quadratic function, you can use the RSREG procedure to do the following:

• test for lack of fit

• test for the significance of individual factors

• analyze the canonical structure of the estimated response surface

• compute the ridge of optimum response

• predict new values of the response

The RSREG procedure uses ODS Graphics to display the response surfaces, residuals, fit diagnostics, and ridges of optimum response. For general information about ODS Graphics, see Chapter 21, Statistical Graphics Using ODS.