It is possible to run Principal Component Analysis (PCA) on proportions?
55988
How to analyze a small matrix to discover associations between cases and variables and the main factors underlyining the variables?
103877
The advantages and disadvantages of using Kaiser Rule to select the number of principal components
22551
What can cause PCA to worsen results of a classifier?
9286
Questions on PCA: when are PCs independent? why is PCA sensitive to scaling? why are PCs constrained to be orthogonal?
154304
Do PCA affect different classification methods?
127708
Rolling analysis with out-of sample
157062
Dimensionality reduction (SVD or PCA) on a large, sparse matrix
6058
Visualizing a million, PCA edition
112134
What are principal component scores?
93145
Can I add several additional variables to my principal component regression?
96906
Calculating statistics on subsets of data
89237
PCA: Eigenvectors of opposite sign and not being able to compute eigenvectors with `solve` in R
126136
Fundamental question about dimensional analysis
7779
How does centering the data get rid of the intercept in regression and PCA?
26181
Using principal component analysis (PCA) for feature selection
25535
Categorical Principal Component Analysis - using Count, Continuous, Ordinal variables together
154899
Is it valid to perform PCA if Kaiser-Meyer-Olkin (KMO) index is very low?