I get a strange error after training the e1071 SVM. It is a text-document multiclass classification, on a large (10000x1000) sparse matrix (DTM). It seems that something is wrong with the features (columns).

The `summary(svmModel)` works. The results could be better (as always (; ). 

However, something is wrong and this may be a reason why results are inconsistent.

```
> svmModel <- svm(labels ~., data= train[,-1], cross = 10, seed = 1234, kernel="linear")

Warning message:
In svm.default(x, y, scale = scale, ..., na.action = na.action) :
  Variable(s) ‘abgebildet’ and 
...
‘could’ and  [... truncated]

```