Dear JMP community,
I need your help. Based on a DoE analysis I have investigated the impact of 6 input-parameters/factors, their interaction effects and quadratic effects on 30 different output-parameters. Hence, I have created 30 models in the fit model plattform.
Each of these 30 output-parameters has certain specification limits. I have to evaluate the range for each input-parameter which leads to output values falling within the specification limits while keeping all the other input-parameters on certain conditions. The inverse prediction function in JMP is a big help. However, performing all these steps manually (for each input-parameter and across 30 different models) takes to much time (30*6 = 180). Is there a way to automate this procedure (maybe in JSL?)
All the best!
