I am trying to calculate normalize scores of my PC instead of normalize loadings. I have tried to use princomp and prcomp package. All my data are scaled and centered.
In Eviews there is just one click by default: the loadings are normalized so the observation scores have norms proportional to the eigenvalues (Normalize loadings). You may instead choose to normalize the scores instead of the loadings (Normalize scores) so that the observation score norms are proportional to unity.
In the other forum I found that: " Normalize loadings - means that your scores will have variances equal to the estimated eigenvalues Normalize scores - means that your scores will have unit variances
The latter corresponds to whether you want the eigenvalue decomposition computed using the covariance or the correlation matrix of the data." I did that, and the result was still not similar to eviews normalized score.
Thanks in advance