What inspired this wish list request?
In formulation and similar fields, experiments often involve both mixture components and process factors. For standard numeric DOEs, JMP offers RSM models as a default, making DoE planning and model selection easy. However, for combined mixture/process designs, the equivalent—KCV models—are not included as a default option. Users must manually select and enter all relevant effects, which is time-consuming and error-prone.
What is the improvement you would like to see?
Add “KCV Model” as a default model complexity option in JMP’s DOE planning and model selection, just like RSM for "standard" factors. This would let users select KCV directly, with JMP automatically generating the correct model terms—no manual effect selection needed. KCV models would then serve as the default for mixture/process combinations, just as RSM models do for numeric factors.
Why is this idea important?
Automating KCV model setup would save time, reduce errors, and make DOE planning much easier for users working with mixtures and process factors. It would provide a practical, balanced modeling option that’s especially valuable in formulation, but also useful in any area where mixture and process variables interact.
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