Modeling and Multivariate Methods - SAS

624 Visualizing, Optimizing, and Simulating Response Surfaces Chapter 24
Profiling Models Stored in Excel
Figure 24.78 Example of the Profiler Using Excel Models
Using Linear Constraints
Within the JMP Profiler, you can alter the linear constraints in order to restrict the model input values. You
are prompted to save the constraints to the Excel workbook. After constraints are saved to the Excel
workbook, whenever the model is profiled from the Excel Add-In, the constraints are incorporated.
1. From the red triangle menu next to Prediction Profiler, select Alter Linear Constraints.
2. Click Add Constraint.
3. Type in the constraining values.
4. Click OK.
5. From the red triangle menu next to Prediction Profiler, select Save Linear Constraints.
You are prompted to save the constraints to the Excel workbook.
6. Click Yes.
Note: When you save the .xls file in Excel 2007, you might see a compatibility error. If so, click Continue
to save the file.
The workbook opens in Excel. When you run the model, the constraints are reflected in the JMP Profiler.
For more information about linear constraints, see “Linear Constraints” on page 575.
Tip: To delete a linear constraint, set all constraint values to zero.
Resolution of Profile Lines
The Default N Levels option on the red triangle menu next to Prediction Profiler affects the resolution of
the profile lines. Note the following information:
• This option defaults to 17 when the Profiler runs a model stored in Excel.
• This option defaults to 41 when the model is stored directly in JMP.
If the same model is stored in both Excel and JMP, then the profile lines can appear differently when the
models are profiled. Increasing this value causes the Excel Profiler to run slower.