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Mar 17, 2011 9:55 PM
(1779 views)

Solved! Go to Solution.

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Mar 18, 2011 3:14 AM
(2710 views)

Solution

I am not sure exactly what you want to do, but it should be quite straightforward.

In the Fit Model platform select Y variable(s), click "Y". Select linear effect and click "Add", select polynomial effect and enter "3" in the "Degree" field and finally select "Polynomial to Degree" in the "Macros" drop-down menu.

In the Fit Model platform select Y variable(s), click "Y". Select linear effect and click "Add", select polynomial effect and enter "3" in the "Degree" field and finally select "Polynomial to Degree" in the "Macros" drop-down menu.

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Mar 18, 2011 3:14 AM
(2711 views)

In the Fit Model platform select Y variable(s), click "Y". Select linear effect and click "Add", select polynomial effect and enter "3" in the "Degree" field and finally select "Polynomial to Degree" in the "Macros" drop-down menu.

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Mar 20, 2011 8:44 PM
(1741 views)

I have 3 input values (x1,x2 and x3) and the output y variable.

As I plot and fit the relations:

(x1,y) = linear regression,

(x2,y) = linear regression,

(x3,y) = polynomial degree=3.

So I would like to get transfer function for prediction the output Y.

I'm not sure which method should I use to get prediction formula by use fit model or neural net. Could you please advice more?

Thank a lot!

Message was edited by: TT

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Mar 21, 2011 12:48 AM
(1741 views)

Anyway, after you set up run your model in Fit Model you can get the prediction formula by choosing Save columns/Prediction Formula under the red triangle in the result window.

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Mar 21, 2011 8:17 AM
(1741 views)

Thanks again MS. I will try as your suggestion.