I would like to apply a Principal Component Analysis to my model and I have a question on the output readings and interpretation. I have attached an example to refer to.
My particular question is on section two of the summary output with the eigenvalues, showing the values, the forward difference in
the eigenvalues, the proportion of total variance explained, etc. Since I am performing principal components on a correlation matrix, the sum of the scaled variances for the variables is represented. For example, the first two components account for over 73% of the total variation. However, it is not clear what are the variables from my sample that correspond to the principal components - what variable/s does Number 1 include? Do I see this in the next section on the loadings to say that, for example, in PC1 variance combination, ALLIED has the greatest weight in the relationship accounting for 46%. Am I reading this correctly?
I would appreciate your help.
Very best, Aneta
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