How does PCA improve the accuracy of a predictive model?
52047
How can top principal components retain the predictive power on a dependent variable (or even lead to better predictions)?
14181
Can averaging all the variables be seen as a crude form of PCA?
99864
Using a regression model to make prediction: When to stop?
116362
Is PCA unstable under multicollinearity?
29381
How to perform dimensionality reduction with PCA in R
156390
Gradient Boosting for Linear Regression - why does it not work?
142784
For linear classifiers, do larger coefficients imply more important features?
6590
PCA and proportion of variance explained
89237
PCA: Eigenvectors of opposite sign and not being able to compute eigenvectors with `solve` in R
157062
Dimensionality reduction (SVD or PCA) on a large, sparse matrix
153418
Fitting a plane to a set of points in 3D using PCA
116179
Is principal component regression (PCR) using principal component scores for regression?
45858
How to compute varimax-rotated principal components in R?
24814
Is PCA still done via the eigendecomposition of the covariance matrix when dimensionality is larger than the number of observations?
115584
Dataset transformation for clustering after PCA
97435
Reversing PCA back to the original variables
51254
How to project a new vector onto the PC space using kernel PCA?