I would like to get a list of variables ordered by their contribution explaining the variability within the data.
In PCA, one can plot the partial contribution of the variables. However, this visualization does not consider the different importance between PCs. The eigenvalues table includes the percentage of data explained.
Is there a way to get the total variable contribution?
Hi @FN,
I think you are looking for loadings, or the eigenvectors * sqrt( eigenvalues ). These are calculated in the PLS platform within JMP but not PCA. Here is how I would go about that interactively for PCA:
Hi @FN,
I think you are looking for loadings, or the eigenvectors * sqrt( eigenvalues ). These are calculated in the PLS platform within JMP but not PCA. Here is how I would go about that interactively for PCA: