R help - Jun 2010 - Decision values from KSVM

Hi,

I'm working on a project using the kernlab library.

For one phase, I want the "decision values" from the SVM prediction,
not
the class label. the e1071 library has this function, but I can't find
the equivalent in ksvm.

In general, when an SVM is used for classification, the label of an
unknown test-case is decided by the "sign" of its resulting value as
calculated from the SVM {-,+}
I want the actual values as a proximal representation of the
"strength"
of the decision. (Further from the hyperplane indicates more confidence)

Any suggestions?

> Any suggestions?
?predict.ksvm has an argument called type: "one of response,
probabilities ,votes, decision indicating the type of output:
predicted values, matrix of class probabilities, matrix of vote
counts, or matrix of decision values."

Max