Revista de Matemática Teoría y Aplicaciones
version ISSN 1409-1433
We present and compare principal components regression and partial least squares regression, and their solution to the problem of multicollinearity. We illustrate the use of both techniques, and demonstrate the superiority of partial least squares.
Keywords : principal components analysis; partial least squares; dimensionality reduction.