Dear Community! I'm using the svm method of package e1071 for classifying my data. This really works fine, but however I have to work after creating the support vectors and the parameters with unscaled data. So the problem is when I try to train the classifier with the option "scale=F" the result is quite poor, so training with scaled data is essential. The rescaling of the support vectors is of course quite an easy task, but what about the parameters coefs and the summand rho? Are they influenced by the optimisation with scaled data (I think they have to...)? And is there any possiblility to rescale these values? I appreciate your help! Greetings! Matthias
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