SVM module: scaling data applied to new test set without using SVM again

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Hello!

We are new in  using R.  We use the SVM module from the library 'e1071'
for training.

Problem formulation:

a classification has been performed using SVM module (linear kernel).
Later, a new data set (test set) comparable to the training data shall be
scaled in the same way  as the training set (using the same scaling
parameter set, but without using the SVM again to save time). We found the
scaling matrices, but we do not know, how to apply them.
[note: in the `x.scale' element of the fitted model]
How must the scaling parameter matrices (scaled:center and scaled:scale)
be applied to the test data set to receive the same scaling as it would
have been done by the SVM module?
the function `scale' has two parameters: `center' and `scale'.
So, you could do sth. like:

scale(newdata, 
      center = model$x.scale$"scaled:center", 
      scale = model$x.scale$"scaled:scale")

best,

David
Thanx very much in advance!
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