How do I understand the axes of PCA?
10466
Making sense of principal component analysis, eigenvectors & eigenvalues
16641
Strange results of varimax rotation of principal component analysis in Stata: rotated components are all zeros and ones
36609
Creating a single index from several principal components or factors retained from PCA/FA
14181
Can averaging all the variables be seen as a crude form of PCA?
112934
Is PCA followed by a rotation (such as varimax) still PCA?
158823
Principal component analysis "backwards": how much variance of the data is explained by a given linear combination of the variables?
155433
Examples of PCA where PCs with low variance are "useful"
51942
Axis/vector notation in Minkowski diagrams
67557
Imputation of missing values for PCA
126726
PCA, LDA, CCA, and PLS
103877
The advantages and disadvantages of using Kaiser Rule to select the number of principal components
112134
What are principal component scores?
13787
Why log-transforming the data before performing principal component analysis?
7632
Interpretation of biplots in principal components analysis
55662
How to use principal components analysis to select variables for regression?
24814
Is PCA still done via the eigendecomposition of the covariance matrix when dimensionality is larger than the number of observations?
81049
What norm of the reconstruction error is minimized by the low-rank approximation matrix obtained with PCA?