Kaiser Rule to select best principal components
103877
The advantages and disadvantages of using Kaiser Rule to select the number of principal components
17025
What exactly is called "principal component" in PCA?
16641
Strange results of varimax rotation of principal component analysis in Stata: rotated components are all zeros and ones
143908
What are "rotated" and "unrotated" principal components, given that PCA always rotates the coordinates axes?
78618
Selecting best model based on linear, quadratic and cubic fit of data
29381
How to perform dimensionality reduction with PCA in R
7632
Interpretation of biplots in principal components analysis
42297
Minimum sample size for PCA or FA when the main goal is to estimate only few components?
36565
Box-Cox transformation vs. predictor transformation in multiple linear regression
145172
Objective function of canonical correlation analysis (CCA)
49896
A criterion for independence based on Characteristic function
36609
Creating a single index from several principal components or factors retained from PCA/FA
26181
Using principal component analysis (PCA) for feature selection
31693
Using k-fold cross-validation for time-series model selection
116179
Is principal component regression (PCR) using principal component scores for regression?
10466
Making sense of principal component analysis, eigenvectors & eigenvalues
48283
Feature selection and cross-validation