[R] Only one class shown in SVM plot?

[Meffy]

Ok, here a simple example. The file 
http://r.789695.n4.nabble.com/file/n4637924/test.csv test.csv  has 400 lines
containing 20 columns (1. column is class label, the other 19 are the
features). 
So what I'm doing is
/
data <- read.csv(file="test.csv", head=F, sep=",")

names(data) <- c("Class","V1", "V2", "V3", "V4", "V5", "V6", "V7", "V8",
"V9", "V10", "V11", "V12", "V13", "V14", "V15", "V16", "V17", "V18", "V19")

model <- svm(as.factor(Class)~., data=data, kernel="linear")
/

This gives me the result

/
Parameters:
   SVM-Type:  C-classification 
 SVM-Kernel:  linear 
       cost:  1 
      gamma:  0.05263158 

Number of Support Vectors:  5
/
When plotting this with

/
plot(model, data, V2~V1)
/

I'm getting
http://r.789695.n4.nabble.com/file/n4637924/svm_result.png 
Where am I wrong here??





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