Least-square support vector machines regression!
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