FDE and Gaussian Profiler combined

[#1]

Hello. Let's see if I am able to explain this well enough to be understandable!

I am running a Gaussian Process through Specialised Modelling. My factors are FPC Scores from an FDE analysis, and I am finding it quite tricky to interpret how the resulting FPCs would change the main function of the FDE using the Gaussian Profiler. 

Does anyone know of an easy way to link both profilers (FDE and Gaussian) in one? My dream would be to be able to see how the main function from the FDE would be altered as I move the sliders in the Gaussian profiler. This would allow me to not have to jump between the FDE and Gausian profiler to interpret the interactions between FPC Scores and my responses. 

I tried to introduce the Main Function Formula and the Prediction Formula from the FDE Function Summaries in my Gaussian analysis but JMP tells me 'no valid starting values found'. 

LearnBot tells me I could potentially link both profilers using JSL, so that would be my next step, but I am not very good with scripting and also, that would still give me two profilers on separate windows. It would be good but it would be even better if I could fulfill my dream of having both things together in a single report. 

If anyone is up to the challenge, I would love some input! If it is too tricky a problem, maybe I could add it to the wish list. 

Thank you!

[#2]

The key, as you mentioned, is to Link the Profilers. The good news is that this does not require any JSL. 

Here is a step by step lesson on how to do something similar: Using functional data as inputs instead of outputs - User Community (FDE + a Response Surface Model)

For your case, you would use a Gaussian Process Model instead. Other than that, you should be able to follow all the same steps to get the result you are looking for. (I tested it with JMP Pro 19.1.5 and it looks good on my end). 

Consider building a Dashboard to combine your profilers into a single report window.