I want to use the caret package to train linear models. I want to compare these models when using different degrees (aka degrees of interaction). This is possible for the 'earth' method (using the '.degree' parameter) but I found no possibility of customizing the degree for the 'lm' method. This might be due to the fact that the basic 'lm' function does not support the degree parameter.
I tried the following solution using a different formula for the second training: ----- library(caret) data(trees) formula=Volume~Girth+Height degFormula=Volume~(Girth+Height)^2 m1 = train(formula, data=trees, method="lm") m2 = train(degFormula, data=trees, method="lm") ------- The problem with this solution is that the 'extractPrediction' method of R does not work if comparing models with different formulas: --- Error in eval(expr, envir, enclos) : object 'Girth:Height' not found --- How can I set the degree used when training a linear model without changing the formula? I need the 'extractPrediction' functionallity. Thanks! -- Dominik Bruhn mailto: domi...@dbruhn.de ______________________________________________ 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.
