Description Usage Arguments Details Value Author(s) References See Also Examples

Computes the PLS solution by eigenvector decompositions.

1 | ```
pls_eigen(X, Y, a)
``` |

`X` |
X input data, centered (and scaled) |

`Y` |
Y input data, centered (and scaled) |

`a` |
number of PLS components |

The X loadings (P) and scores (T) are found by the eigendecomposition of X'YY'X. The Y loadings (Q) and scores (U) come from the eigendecomposition of Y'XX'Y. The resulting P and Q are orthogonal. The first score vectors are the same as for standard PLS, subsequent score vectors different.

`P` |
matrix with loadings for X |

`T` |
matrix with scores for X |

`Q` |
matrix with loadings for Y |

`U` |
matrix with scores for Y |

Peter Filzmoser <[email protected]>

K. Varmuza and P. Filzmoser: Introduction to Multivariate Statistical Analysis in Chemometrics. CRC Press, Boca Raton, FL, 2009.

1 2 |

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