[R] Least-square support vector machines regression!

[Max Kuhn]

> 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