How to use svm regression model to train the part of the data and test rest of the data

Hi, I have below data, and I want to build svm based regression model using part of the data, and test the built model on rest of the data. Kindly some one help how can I do this. Many thanks in advance,

A=(each column is a variable, six variables A,B,C,D,E,F
and each row is a data point of corresponding variable)

0.815   0.276   0.162   0.417   0.644   0.963 
0.906   0.680   0.794   0.050   0.379   0.547 
0.127   0.655   0.311   0.903   0.812   0.521 
0.913   0.163   0.529   0.945   0.533   0.232 
0.632   0.119   0.166   0.491   0.351   0.489 
0.098   0.498   0.602   0.489   0.939   0.624 
0.278   0.960   0.263   0.338   0.876   0.679 
0.547   0.340   0.654   0.900   0.550   0.396 
0.958   0.585   0.689   0.369   0.622   0.367 
0.965   0.224   0.748   0.111   0.587   0.988 
0.158   0.751   0.451   0.780   0.208   0.038 
0.971   0.255   0.084   0.390   0.301   0.885 
0.957   0.506   0.229   0.242   0.471   0.913 
0.485   0.699   0.913   0.404   0.230   0.796 
0.800   0.891   0.152   0.096   0.844   0.099 
0.142   0.959   0.826   0.132   0.195   0.262 
0.422   0.547   0.538   0.942   0.226   0.335 
0.916   0.139   0.996   0.956   0.171   0.680 
0.792   0.149   0.078   0.575   0.228   0.137 
0.959   0.258   0.443   0.060   0.436   0.721 
0.656   0.841   0.107   0.235   0.311   0.107 
0.036   0.254   0.962   0.353   0.923   0.654 
0.849   0.814   0.005   0.821   0.430   0.494 
0.934   0.244   0.775   0.015   0.185   0.779 
0.679   0.929   0.817   0.043   0.905   0.715 
0.758   0.350   0.869   0.169   0.980   0.904 
0.743   0.197   0.084   0.649   0.439   0.891 
0.392   0.251   0.400   0.732   0.111   0.334 
0.655   0.616   0.260   0.648   0.258   0.699 
0.171   0.473   0.800   0.451   0.409   0.198 
0.706   0.352   0.431   0.547   0.595   0.031 
0.032   0.831   0.911   0.296   0.262   0.744 
0.277   0.585   0.182   0.745   0.603   0.500 
0.046   0.550   0.264   0.189   0.711   0.480 
0.097   0.917   0.146   0.687   0.222   0.905 
0.823   0.286   0.136   0.184   0.117   0.610 
0.695   0.757   0.869   0.368   0.297   0.618 
0.317   0.754   0.580   0.626   0.319   0.859 
0.950   0.380   0.550   0.780   0.424   0.805 
0.034   0.568   0.145   0.081   0.508   0.577 
0.439   0.076   0.853   0.929   0.086   0.183 
0.382   0.054   0.622   0.776   0.262   0.240 
0.766   0.531   0.351   0.487   0.801   0.887 
0.795   0.779   0.513   0.436   0.029   0.029 
0.187   0.934   0.402   0.447   0.929   0.490 
0.490   0.130   0.076   0.306   0.730   0.168 
0.446   0.569   0.240   0.509   0.489   0.979 
0.646   0.469   0.123   0.511   0.579   0.713 
0.709   0.012   0.184   0.818   0.237   0.500 
0.755   0.337   0.240   0.795   0.459   0.471

Answer 1

[Swarooph]

Use cvpartition function to separate training and test data. (Documentation and examples here )

Use fitrsvm function to build your svm based regression model. (Documentation and examples here )