Why am I getting empty matrix from svmpredict ??

I want to make predictions from a simple time series. The observations y=[11,22,33,44,55,66,77,88,99,110] at time x=[1,2,3,4,5,6,7,8,9,10]. I am using epsilon-SVR from libsvm toolbox.My code is as follows :

x1 = (1:7)'; % training set

y1 = [11, 22, 33, 44, 55, 66, 77]'; % observations from time series

options = ' -s 3 -t 2 -c 100 -g 0.05 -p 0.0003 ';

model = svmtrain(y1, x1, options)

x2 = (8:10)'; % test set

y2 = [88, 99, 110]'; % hidden values that are not used for training

[y2_predicted, accuracy] = svmpredict(y2, x2, model)

but the svmpredict function is giving me null output as shown below

y2_predicted =

     []

accuracy =

     []

Please help me resolve this .I am new to libsvm.