Modeling and Multivariate Methods - SAS

Chapter 24 Visualizing, Optimizing, and Simulating Response Surfaces 583
Mixture Profiler
Remove Contour Grid
removes the contour grid if one is on the plot.
Factor Settings is a submenu of commands that allows you to save and transfer the Mixture Profiler
settings to other parts of JMP. Details on this submenu are found in the discussion of the profiler on
“Factor Settings” on page 565.
Linear Constraints
The Mixture Profiler can incorporate linear constraints into its operations. To do this, a Constraint Table
Script must be part of the data table. See “Linear Constraints” on page 575 for details on creating the Table
Script.
When using constraints, unfeasible regions are shaded in the profiler. Figure 24.32 shows an example of a
mixture profiler with shaded regions due to four constraints. The unshaded portion is the resulting feasible
region. The constraints are below:
• 4*p2+p3≤ 0.8
• p2+1.5*p3≤ 0.4
• p1+2*p2≥ 0.8
• p1+2*p2≤ 0.95
Figure 24.32 Shaded Regions Due to Linear Constraints
Examples
Single Response
This example, adapted from Cornell (1990), comes from an experiment to optimize the texture of fish
patties. The data is in Fish Patty.jmp. The columns Mullet, Sheepshead and Croaker represent what
proportion of the patty came from that fish type. The column Temperature represents the oven temperature
used to bake the patties. The column Rating is the response and is a measure of texture acceptability, where