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Modeling and Multivariate Methods - SAS

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586 Visualizing, Optimizing, <strong>and</strong> Simulating Response Surfaces Chapter 24<br />

Mixture Profiler<br />

Figure 24.35 Contour Shading Showing Predicted Rating of 5 or more.<br />

Up to this point the fourth factor, Temperature, has been held at 400 degrees. Move the slide control for<br />

Temperature <strong>and</strong> watch the feasible region change.<br />

Additional analyses may include:<br />

• Optimize the response across all four factors simultaneously. See “The Custom Profiler” on page 591 or<br />

“Desirability Profiling <strong>and</strong> Optimization” on page 567.<br />

• Simulate the response as a function of the r<strong>and</strong>om variation in the factors <strong>and</strong> model noise. See “The<br />

Simulator” on page 592.<br />

Multiple Responses<br />

This example uses data from Five Factor Mixture.jmp. There are five continuous factors (x1–x5), one<br />

categorical factor (Type), <strong>and</strong> three responses, Y1, Y2 <strong>and</strong> Y3. A response surface model is fit to each<br />

response <strong>and</strong> the prediction equations are saved in Y1 Predicted, Y2 Predicted <strong>and</strong> Y3 Predicted.<br />

Launch the Mixture Profiler <strong>and</strong> assign the three prediction formula columns to the Y, Prediction Formula<br />

role, then click OK. Enter 3 in the Contour edit box for Y3 Predicted so the contour shows on the plot. The<br />

output appears in Figure 24.36.

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