Is it necessary to standardise data sets before performing PCA?
139690
Which variables should I transform, center, and/or standardize in my data for Principal Component Analysis?
46319
How to perform orthogonal regression (total least squares) via PCA?
21224
Applying PCA to data that fail a normality test
39839
Doing principal component analysis or factor analysis on binary data
116179
Is principal component regression (PCR) using principal component scores for regression?
42297
Minimum sample size for PCA or FA when the main goal is to estimate only few components?
97435
Reversing PCA back to the original variables
84446
How to project a new vector onto PCA space?
79763
What do empty (missing) values in the output of PCA or factor analysis mean in R?
153285
Is hyperparameter tuning on sample of dataset a bad idea?
93145
Can I add several additional variables to my principal component regression?
81645
Combining PCA, feature scaling, and cross-validation without training-test data leakage
6206
How does centering make a difference in PCA (for SVD and eigen decomposition)?
6454
Perform feature normalization before or within model validation?
113346
What is the proper association measure of a variable with a PCA component (on a biplot / loading plot)?
57829
Variables are often adjusted (e.g. standardised) before making a model - when is this a good idea, and when is it a bad one?
22551
What can cause PCA to worsen results of a classifier?