Oblique decision tree using mvpart

First, thanks for your answer.
I find the description of mvpart package quite short:

"Wrapper function for fitting and plotting rpart models "

I agree that this could be improved.

Then, I thought that mvpart was the package which seems closest to what I
would like to do (i.e. oblique decision tree also named multivariate
decision tree). However, as you pointed out, it is the answer which is
multivariate in the mvpart package.

Terminology for different flavors of decision trees and recursive 
partitioning varies a lot between different communities (machine learning, 
artificial intelligence, statistical learning, ...) and even within 
communities.

Thus, this is for multivariate *responses*, not for multivariate splits.

So, to your knowledge, there is no R package for multivariate splits (i.e.
oblique decision trees)?

No, to the best of my knowledge, the list in the Machine Learning task 
view is up to date.

Also, I think that "oblique decision trees" is specific to the algorithm 
underlying the OC1 implementation.
   http://www.cs.jhu.edu/~salzberg/announce-oc1.html
The term trees with "functional splits" or "multiway splits" is more 
common, I guess. Binaries for the original implementation of the CRUISE 
algorithm are available at
   http://www.stat.wisc.edu/~loh/cruise.html
We played around with interfacing the latter in R, but unfortunately that 
is not really finished, yet.

hth,
Z