Hi JMP community,

I am using DSD to find the main effect as well as quadratic effect among my factors. Specifically, my responses are multiple numerical parameters, and my factor inputs include both numerical and categorial values. Now, I have run the experiments and feed into the model. Because I am interested in the effects of all these factors to my multiple responses simultaneously, I am using prediction profiler plot to visualize the modeling results by assigning different importance levels to each response. (see attachment 1). And the model successfully predicts the best factor combinations that would generate the ideal response profiles based on my defined importance level.

But besides this prediction profiler, is there other way to draw a heap map to show regression coefficients of main and quadratic factor effects to each response? (such as the image I attached here). So that I can investigate which effect is more important to my response.