SVM regression in Spark

[roni]

Hi All,
 I am trying to change my R code to spark. I am using  SVM regression in R
. It seems like spark is providing SVM classification .
How can I get the regression results.
In my R code  I am using  call to SVM () function in library("e1071") (
ftp://cran.r-project.org/pub/R/web/packages/e1071/vignettes/svmdoc.pdf)
svrObj <- svm(x ,
                y ,
                scale = TRUE,
                type = "nu-regression",
                kernel = "linear",
                nu = .9)

Once I get the svm object back , I get the -
 from the values.

How can I do this in spark?
Thanks in advance
Roni