Regresión ortogonal y componentes principales.
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.