Dear R community, this is probably a well-known topic to some of you, but I am not well into it and would like some clarifications or even jus some suggestions.
I have a quadratic scalar field: F(x,y)=K*exp(-(a*x^2+b*y^2+c*x*y)) I also have a random set of positive x,y values and related F(x,y) values. It seems reasonable to estimate the parameters K, a, b, c with a linear regression, using the log of both sides of the equation. What worries me, though, is the interaction term, c*x*y. Are there well-known issues on the application of linear regression to cases like this one? Thanks in advance for your answers. James -- This e-mail and any attachments may contain confidential...{{dropped:16}} ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.