Centering variables before running PCA
7779
How does centering the data get rid of the intercept in regression and PCA?
135047
Why does PCA maximize total variance of the projection?
90089
Why are PCA eigenvectors orthogonal and what is the relation to the PCA scores being uncorrelated?
70245
Why is the eigenvector in PCA taken to be unit norm?
9488
When conducting multiple regression, when should you center your predictor variables & when should you standardize them?
20763
Why could centering independent variables change the main effects with moderation?
141568
Why is using centered or uncentered data equivalent in ridge regression?
101622
Choosing number of principal components to retain
42297
Minimum sample size for PCA or FA when the main goal is to estimate only few components?
46319
How to perform orthogonal regression (total least squares) via PCA?
7632
Interpretation of biplots in principal components analysis
97435
Reversing PCA back to the original variables
13787
Why log-transforming the data before performing principal component analysis?
10466
Making sense of principal component analysis, eigenvectors & eigenvalues
45858
How to compute varimax-rotated principal components in R?
84446
How to project a new vector onto PCA space?
6316
PCA on correlation or covariance?