Regresion PLS y PCA como Solucion al Problema de Multicolinealidad en Regresion Multiple
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.
| Main Authors: | , |
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| Format: | Article |
| Language: | Spanish |
| Published: |
Universidad de Costa Rica
2011-03-01
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| Series: | Revista de Matemática: Teoría y Aplicaciones |
| Online Access: | https://revistas.ucr.ac.cr/index.php/matematica/article/view/2111 |