PCA on predictor variables before supervised learning is appplied
52047
How can top principal components retain the predictive power on a dependent variable (or even lead to better predictions)?
46319
How to perform orthogonal regression (total least squares) via PCA?
121468
Explanatory variables may bias predictions
36609
Creating a single index from several principal components or factors retained from PCA/FA
67557
Imputation of missing values for PCA
79786
How would PCA help with a k-means clustering analysis?
32548
On the importance of the i.i.d. assumption in statistical learning
18487
Why are there only $n-1$ principal components for $n$ data if the number of dimensions is $\ge n$?
36477
Is there any required amount of variance captured by PCA in order to do later analyses?
156390
Gradient Boosting for Linear Regression - why does it not work?
8751
Before running a ridge regression model, do I need to preform variable selection?
21224
Applying PCA to data that fail a normality test
55847
PCA demeaning the data
7779
How does centering the data get rid of the intercept in regression and PCA?
25535
Categorical Principal Component Analysis - using Count, Continuous, Ordinal variables together
3089
Why PCA of data by means of SVD of the data?
81049
What norm of the reconstruction error is minimized by the low-rank approximation matrix obtained with PCA?