svd, pca - linear transformation

Hi, I used to do the following..

[U,SS,V] = svd(Y*Y');
W = sqrt(SS);
w = diag(W);
L = diag(1./w)*U';
T = L*Y;

Here the first row of L gave me the linear transformation between my observations and the first PC.

FOr a variety of reasons I am now using

[coeffZ, score, latent, tsquared, explained, mu]=pca(Z);

Can someone please explain how I can obtain L from this?

Thanks,

S

[sas0701]

anyone?