Hi,
I have two matrices:  samplesTR, size of <160x1458 double> and labelsTR, size of <1x1458 double>. I send you both.
I want to reduce dimension of matrix by PCA in PRTools.
Code: 
samplesTR = dataset(samplesTR’,labelsTR’);
samplesPCA = PCA(samplesTR,0.98);

Now, samplesPCA is reduced to <160x131 mapping>.
I want to use samplesPCA with labelsTR for SVM. But number of training samples and its labels are different from each other. (i.e. samplesPCA has size of <160x131 mapping> and labelsTR has <1x1458 double>.)
How can I obtain samplesPCA’s labels values? or how can I match these two matrices?
Regards..

It should be realized that

is a mapping computed from

.
It may be applied to any dataset, e.g. training sets as well as test sets in the original space.
After

you have your data mapped into the PCA space.

Bob Duin

Thanks Mr. Duin! Your reply is what I want.