Hi, I've trained up a classifier using the (so-far wonderful) CMA package. It validated well, and gives me predictions that agree well with my labels. I'd now like to use the classifier on a held-out data set, but for the life of me I can't figure out how to apply a classifier to a new example. Does anyone have any ideas? For example, having loaded my `exprset` and generated a `learning_set` using CMA's GenerateLearningsets(), I can run the classification() function as follows: out = classification( X = t(exprs(exprset)), y = pData(exprset)$labels, learningsets = learning_set, classifier = rfCMA ) the object `out` gives me loads of information about how well it did and so on, but I can't seem to use "out" in order to classifiy a new set. An alternative approach would be to run something like classification() whereby I give it an X_test variable or something, but this doesn't seem to be available. Any help would be greatly appreciated : I'm sure I'm missing something basic! Cheers, Mike Dewar - - - Dr Michael Dewar Postdoctoral Research Scientist Applied Mathematics Columbia University http://www.columbia.edu/~md2954/