This function is used by `pdmClass`

and `pdmGenes`

to
classify microarray data by principal components regression. It is an
internal function and not intended to be called by the end user.

1 | ```
svdr(X, y, dimension)
``` |

`X` |
A numeric matrix assumed to be centred so columns sum to zero. |

`y` |
A numeric vector assumed to sum to zero. |

`dimension` |
The number of PLS factors in the model, which must be
less than or equal to the rank of |

An object of class `svd`

, containing the following items:

`fitted.values ` |
The fitted values. |

`coefficients ` |
The model coefficients. |

`dimension` |
The number of PLS factors in the model. |

`xmeans` |
The sample means. |

Debashis Ghosh

http://www.sph.umich.edu/~ghoshd/COMPBIO/POPTSCORE

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