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Hi, A. In a nutshell: The training error, obtained as "error (ret)", from the return value of a ksvm () call for a eps-svr model is (likely) being computed wrongly. "nu-svr" and "eps-bsvr" suffer from this as well. I am attaching three files: (1) ksvm.R from the the kernlab package, un-edited, (2) ksvm_eps-svr.txt: (for easier reading) containing only eps-svr pertinent blocks of code from ksvm.R with line numbers prefixed to each line (I hope no licenses are being violated!)...

...d cross validation I get the following error message: Error in match.arg(type, c("C-svc", "nu-svc", "kbb-svc", "spoc-svc", "C-bsvc", : 'arg' should be one of ?C-svc?, ?nu-svc?, ?kbb-svc?, ?spoc-svc?, ?C-bsvc?, ?one-svc?, ?eps-svr?, ?eps-bsvr?, ?nu-svr? code-example: # create data x <- seq(-20,20,0.1) y <- sin(x)/x + rnorm(401,sd=0.05) # train relevance vector machine foo <- rvm(x, y, cross=10) So, does that mean that cross-validation is not working for rvm at the moment? (since the type argument only allows support vecto...