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Comparison the results of Standard Least Squares in Fit model with the results of SAS Proc Reg

hwee

Community Trekker

Joined:

May 5, 2016

I estimated parameters in a polynomial equation using Proc Reg in SAS.

And I also tested the same data using Standard Least Squares in Fit model in JMP pro.

Simple comparison of estimated parameters between both program shows different results.

Which option in JMP pro is the same as Proc Reg in SAS?

I'm a beginner, please give me some comments.

Thanks.

1 ACCEPTED SOLUTION

Accepted Solutions
Solution

The different results could be caused by JMP centering polynomial terms in your model, which is the default selection. See the JMP documentation Model Specification Options for details.

If this is the case you can turn off this option in the red triangle menu next to Model Specification

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2 REPLIES
Solution

The different results could be caused by JMP centering polynomial terms in your model, which is the default selection. See the JMP documentation Model Specification Options for details.

If this is the case you can turn off this option in the red triangle menu next to Model Specification

11479_pastedImage_10.png

hwee

Community Trekker

Joined:

May 5, 2016

Thanks a lot.

I checked my data again.  The estimated values are almost similar.

It makes sense to me when I read help manual.

I'd like to ask one more question.

SAS has RSQUARE model selection method, but I can't find the same option in JMP except stepwise.

Do you have any idea regarding this?

Thanks again.