Thanks Oldrich,
 Actually I was not sure if I can remove these columns and build model. Thanks a lot for your kind suggestion. Could you tell me if there any function to remove these columns from the data matrix.
 
 With best regards,
 Soumyadeep

Oldrich Kruza <sixtease@gmail.com> wrote: A rather technical workaround I see could be adding a row with a
different value. But if a column only ever has one value, then it
contributes nothing to the model and I see no reason why it would have
to be kept.
~ Oldrich Kruza

On Fri, Mar 7, 2008 at 6:45 AM, Soumyadeep nandi
 wrote:
> What should I do if I need to train svm() with data having same value across
> all rows in some columns. These must be the important features of the class
> and we cant exclude these columns to build up models.
>
> The error I am getting is:
> Error in predict.svm(ret, xhold) : Model is empty!
> In addition: Warning message:
> In svm.default(datatrain, classtrain) :
>  Variable(s) 'F112' and 'F113'.... [... truncated]
>
> Is there any way to overcome this problem? Any suggestions would be highly
> helpful.
>
> Regards
> Soumyadeep
>
>
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