Understanding PCA - How to calculate scores
4244
How to compute PCA scores from eigendecomposition of the covariance matrix?
84446
How to project a new vector onto PCA space?
36609
Creating a single index from several principal components or factors retained from PCA/FA
34539
How to intuitively understand eigenvalue and eigenvector?
126726
PCA, LDA, CCA, and PLS
22551
What can cause PCA to worsen results of a classifier?
48567
Skewed variables in PCA or factor analysis
49582
How to visualize what canonical correlation analysis does (in comparison to what principal component analysis does)?
24814
Is PCA still done via the eigendecomposition of the covariance matrix when dimensionality is larger than the number of observations?
116362
Is PCA unstable under multicollinearity?
158823
Principal component analysis "backwards": how much variance of the data is explained by a given linear combination of the variables?
154899
Is it valid to perform PCA if Kaiser-Meyer-Olkin (KMO) index is very low?
115584
Dataset transformation for clustering after PCA
55847
PCA demeaning the data
10466
Making sense of principal component analysis, eigenvectors & eigenvalues
74282
Can I use PCA (or should I use regression) for testing the effect of multiple variables on one dependent variable?
16523
How to compute classification accuracy of PCA?