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Modeling and Multivariate Methods - SAS

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Chapter 3 Fitting St<strong>and</strong>ard Least Squares Models 73<br />

Estimates<br />

Figure 3.13 Inverse Prediction Dialog for a Multiple Regression Model<br />

6. Type the values for Oxy, as shown in Figure 3.13.<br />

7. Delete the value for Runtime, because you want to predict that value.<br />

8. Click OK.<br />

Figure 3.14 Inverse Prediction for a Multiple Regression Model<br />

Cox Mixtures<br />

Note: This option is available only for mixture models.<br />

In mixture designs, the model parameters cannot easily be used to judge the effects of the mixture<br />

components. The Cox Mixture model (a reparameterized <strong>and</strong> constrained version of the Scheffé model)<br />

produces parameter estimates. You can then derive factor effects <strong>and</strong> the response surface shape relative to a<br />

reference point in the design space. See Cornell (1990) for a complete discussion.

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