how can i fix this problem ? I tried to train a simple linear VSM classifier library(kernlab)
 letter_classifier &lt;- ksvm(letter ~ ., data = letters_train,
                       kernel = &quot;vanilladot&quot;)


&gt;  Setting default kernel parameters   Error in .local(x, ...) :    No
&gt; Support Vectors found. You may want to change your parameters In
&gt; addition: Warning message: In .local(x, ...) : NAs introduced by
&gt; coercion
Check the structure of letters_train.
SVM is for continuous and categorical variable analysis, and surely one of your variables (letter) is likely still a character variable. Change it to factor and try again.