Does it make sense to add the principal components together to produce a single index?
36609
Creating a single index from several principal components or factors retained from PCA/FA
139690
Which variables should I transform, center, and/or standardize in my data for Principal Component Analysis?
151620
Multidimensional indices in databases
135047
Why does PCA maximize total variance of the projection?
52047
How can top principal components retain the predictive power on a dependent variable (or even lead to better predictions)?
45858
How to compute varimax-rotated principal components in R?
14465
"Normalizing" variables for SVD / PCA
53993
Can Eigenvalues[] and Eigenvectors[] be assumed to return the same ordering?
5484
Creating an index of quality from multiple variables to enable rank ordering
63697
connected subspaces need to lie in one separated component
126886
Do the principal components change if we apply PCA more than once (recursively) on data?
129604
Why use the INCLUDE clause when creating an index?
17025
What exactly is called "principal component" in PCA?
86082
Interpreting PCA scores
46319
How to perform orthogonal regression (total least squares) via PCA?
116362
Is PCA unstable under multicollinearity?
143724
Is it possible to use kernel PCA for feature selection?