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:
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automatic generation of quadratic effects
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a lack-of-fit test
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solutions for critical values of the surface
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eigenvalues of the associated quadratic form
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a ridge analysis to search for the direction of optimum response