handling constant factors in prediction using svm

Hi users!

I am fitting a model with several factor variables as independents using
svm. since there are lots of categorical variables,the training and test
data sets have been created using dummy.data.frame option from dummies
package. I have a factor A in the training data set with 2 levels (0,1).In
the test set, this factor A has only 1 level (1) and hence when applying
dummy.data.frame, the variable gets dropped(and that's how i want it too).
The problem comes when I am trying to predict the test data as an error is
thrown saying A0 object is not found. Is there anyway  to solve this
problem?

Thanks
Divya

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