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I have a data set at hand that I don't know how to analyze it. Essentially, I have four predictors to predict one outcome. For each predictor, the data distribution is different. Two of them look linear, one of them look quadradic, and the other one seems to be at a higher order.

Is there a good tutorial to deal with this kind of situation or multiple nonlinear regression in general? Also, what R commands should I use to analyze this kind of data set?

Thank you!

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What are you looking for? What is your goal? – Matteo De Felice Aug 31 '12 at 15:47
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This isn't really nonlinear regression. Nonlinear regression means the regression is nonlinear in the parameters. You can include quadratic and cubic transformations of the independent variables in a linear regression. – Peter Flom Aug 31 '12 at 15:48
I think chapter 9 of this PDF by Frank Harrell may help you. – Peter Flom Aug 31 '12 at 15:54
Peter Flom gave the answer I would give. You can do a polynomial regression using the linear model. – Michael Chernick Aug 31 '12 at 16:01
Thank you! This clarifies my confusions. – roboren Aug 31 '12 at 19:04
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