Hello, Let's say I have: Factors : A, B, C Responses : Y1 , Y2 If I use Fit Model Personalities : Standard Least Square. Then the model for example provide : Effect Summary that shows the effects of terms of factors vs both response Y1 and Y2 (in one summary). However, if I use Fit Model Personalities : Stepwise. Then, the JMP provide me individual Effect Summary for each response Y1 and Y2. Meaning, I get two effect summary here. One for Y1 , and one for Y2. In the case of Standard Least Square, I get only one Effect Summary (which I assume is for combination of Y1 and Y2 responses). My questions: 1. Both method in the end will provide a Profiler, but they are both different (for sure). Which is more accurate or should we follow? 2. Is there a way for Stepwise to provide one single Effect Summary that consist the whole effect terms vs all responses? Thanks. B.r, Chris
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