Hi,

I am having trouble with svm regression.it is not giving the right results.

example

> model <- svm(dataTrain,classTrain,type="eps-regression")
> predict(model, dataTest)
        36         37         38         39         40         41
42
-13.838257  -1.475401  10.502739  -3.047656  -8.713697   3.812873
1.741999
        43         44         45         46         47         48
49
 -6.034361 -13.469742   7.628642 -22.197060  -3.417444  -8.536890
-11.876133
        50
 -5.877457


My dataSet has 50 columns and 19 rows
my classSet has 50 columns and 1 row

My dataTrain has 35(1:35) columns and 19 rows
My classTrain has 35(1:35) columns and 1 row

My dataTest has 15(36:50) columns and 19 rows
My classTest has 15(36:50) columns and 1 row

My results should be as follows:

 [1] -25.70  30.30 -58.50  -1.12   7.62 -16.10 -48.50  21.10  12.60 -43.00
[11] -47.30 -47.90 -38.40 -21.30  22.40

But instead i get the wrong values.can anyone help me with it.

Thanks,
Joji.

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