Principal Component Analysis
I have just installed JASP 0.16 and I ans still learning to use it. I like because it is easy to use and have some complex statistical tests that I can understand, but i am not able to calculate myself.
I am, however, a bit confused about the tool for Principal Component Analysis for two reasons.
The first is that I was able to get only Components loadings and eigenvalues, but I have not found a way for getting object scores (i.e. the projections of observations along the principal axes) and residuals.
Is this tool totally "variable oriented" or have I missed something?
The other obscure point is that when I toggle between decomposition based on covariance matrix and correlation matrix I obseved no changes in the output (loadings and eigenvalues). This looks odd to me, because working on correlation matrix should be equivalent to use standardized (unit variance) input variables, giving them equal a priori importance.
May someone help me?
Thanks in advance.