Multicollinearity
Videos
In statistics, multicollinearity or collinearity is a situation where the predictors in a regression model are linearly dependent.
A depiction of multicollinearity.
Partial least squares regression is a statistical method that bears some relation to principal components regression and is a reduced rank regression; instead of finding hyperplanes of maximum varianc
Geometric interpretation of the deflation step in the input space