Problem with random variables in Matlab's PCA

I cannot calculate the random variables associated to the eigenfuctions of the principal component analysis.

I have designed a Gaussian kernel as:

[X,Y] = meshgrid(0:0.002:1,0:0.002:1);

Now, I calculate PCA:

[coeffG, scoreG, latentG, tsquaredG, explainedG, muG]=pca(Z, 'Centered',false);

I can rebuid the original data propperly as defined in the dcumentation


Now, I wish to calculate the uncorrelated random variables which acompany the eigenvectors, columns of scoreG. For that, I do the following:

randvarG=Z*scoreG(:,1); However, the resulting histogram of randvarG does not look gaussian at all.

Any hindsight on what I am doing wrong is very appreciated.
Thanks for reading

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