In this work the Principal Components Analysis is presented, starting from the orthogonal regression plane. On this basis, the data reduction technique is exposed in the three-dimensional case. Finally, the correlation matrix analysis is considered, as well as its extension to p dimensions.
@article{urn:eudml:doc:40402, title = {Regresi\'on ortogonal y componentes principales.}, journal = {Q\"uestii\'o}, volume = {18}, year = {1994}, pages = {285-296}, zbl = {1167.62322}, language = {es}, url = {http://dml.mathdoc.fr/item/urn:eudml:doc:40402} }
Martínez Arnáiz, J. Alberto. Regresión ortogonal y componentes principales.. Qüestiió, Tome 18 (1994) pp. 285-296. http://gdmltest.u-ga.fr/item/urn:eudml:doc:40402/