> To make things easier (using only two optimization parameters and not
> loosing performance) I wanted to use LS SVM regression (lssvm{kernlab}). But
> it looks to me that it is not yet implemented. At least I got error
> messages, which I could not find a solution for (Error in if (n !_dim(y)[1]
> stop ("Labels y and data x dont match").I've used the lssvm function in kernlab without issue. You should follow the posting guide and provide a reproducible example so that there is a possibility of answering your question. Plus, what versions etc. Max ______________________________________________ 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.
