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Multiple non linear Regression in Rapid miner
I have a number of independent variables and one dependent variable which is numerical. I have tried using Linear regression and polynomial regression. However, I also want to try multiple non-linear regression on my data, if it predicts more accurately than linear regressions.
By multiple non-linear regression, I mean that, some independent variables are linear, and some are non-linear(as logarithmic, or exponential or even polynomial). And the predictive value is the combination of all of those.
Y = a . C1 + b.e^C2 + c.log C3 + ...
Here, a, b, c are independent variables and C1, C2, C3 are coefficients.
Could anybody explain me how can I add such operators to achieve my goal?
Thanks, in advance. I would love to clarify my problem, if it is not clear to you.