Abstract

VEGA-VILCA, José Carlos  and  GUZMAN, Josué. Regresión PLS y PCA como solución al problema de multicolinealidad en regresión múltiple. Rev. Mat [online]. 2011, vol.18, n.1, pp.09-20. ISSN 1409-2433.

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.

        · abstract in Spanish     · text in Spanish     · Spanish ( pdf )