This function indicates the total number of missclassified individuals for k-fold cross validated partial least squares regression models.

1 | ```
kfolds2Mclassed(pls_kfolds)
``` |

`pls_kfolds` |
a k-fold cross validated partial least squares regression model used on binary data |

`list` |
Total number of missclassified individuals vs number of components for the first group partition |

`...` |
... |

`list` |
Total number of missclassified individuals vs number of components for the last group partition |

Use `cv.plsR`

to create k-fold cross validated partial least squares regression models.

Frederic Bertrand

frederic.bertrand@math.unistra.fr

http://www-irma.u-strasbg.fr/~fbertran/

Nicolas Meyer, Myriam Maumy-Bertrand et Frederic Bertrand (2010). Comparing the linear and the logistic PLS regression with qualitative predictors: application to allelotyping data. *Journal de la Societe Francaise de Statistique*, 151(2), pages 1-18.
http://smf4.emath.fr/Publications/JSFdS/151_2/pdf/sfds_jsfds_151_2_1-18.pdf

`kfolds2coeff`

, `kfolds2Press`

, `kfolds2Pressind`

and `kfolds2Mclassedind`

to extract and transforms results from k-fold cross validation.

1 2 3 4 5 6 7 8 |

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.