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Sep 3, 2013 11:05 PM
(6748 views)

When I have done a multi-factor experiment I fit models to each of my responses. Many times the different responses don't have the same significant terms and interactions as each other. After i reduce my model for each response I want to investigate the effects of changing factors on each response simultaneously. How do I do this when the models I fit are different for each response?

BR

Jesper

Jesper

1 ACCEPTED SOLUTION

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For each response save the prediction formula to the data table (red triangle hot spot-Save Columns>Prediction Formula). Then use the Graph>Profiler platform to specify the formulas that you saved to the columns in the data table as your Y (Prediction Formula) responses. This will bring all of your responses with their specific fit data into a combined profiler.

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3 REPLIES 3

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For each response save the prediction formula to the data table (red triangle hot spot-Save Columns>Prediction Formula). Then use the Graph>Profiler platform to specify the formulas that you saved to the columns in the data table as your Y (Prediction Formula) responses. This will bring all of your responses with their specific fit data into a combined profiler.

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Re: Prediction profiler for several responses fit by different models

Great. That was just what I needed. Thank you a bunch.

BR

Jesper

Jesper

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Re: Prediction profiler for several responses fit by different models

You can save the Predicted standard error too if you need that in your profiler as well.