(...)
 
> While you're sending your bug report to David, perhaps you can try the
> SVM from kernlab.
> 
> It relies on code from libsvm, too, but ... you never know. It can't
> hurt to try.

Hi Steve,

thanks for that hint.
I tried ksvm()-function bet get an error message:

model <- ksvm(soil_unit~., train, type="nu-svc")
Using automatic sigma estimation (sigest) for RBF or laplace kernel 
Error in votematrix[i, ret < 0] <- votematrix[i, ret < 0] + 1 : 
  NAs are not allowed in subscripted assignments

But there are no NAs in my dataset. I checked it with 
summary(is.na(train))

I sent an Email to David...

TIM

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