Dear R users & experts, I'd like to create a model using lm (or glm) under some constraints of how coefficients for each component could look like (sort of a range of coefficients that should be allowed). So let's go for an example :
model=lm(age ~ eyecolor + height, data=inputdata) So let's suppose that R pops out a model with positive estimates for the coefficients eyecolor and height, I have to use them as is. But however, if I'd like to produce a model that follows that behaviour : age = A*eyecolor - B*height having A>0 and B>0 how can I achieve that? I read about offsets, but I just know the range of the coefficient, but not the exact value and doing something like that offset(seq(-1,0,0.01)*height) doesn't seem to work in lm. Thanks in advance for any hint! Best regards. -- Peter Schmidtke PhD Student Dept. Physical Chemistry Faculty of Pharmacy University of Barcelona ______________________________________________ R-help@r-project.org mailing list 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.
