I am trying to use Principal Component Analysis to convert 10 portfolio returns into 3 most important statistical component returns. What I did is
However, when looking at the generated variables, I am really confused. What are they? How are they computed from eigenvectors of the original covariance matrix?
Code:
pca r1-r10 predict pc1 pc2 pc3
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