Performs the principal components analysis.

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`x` |
numeric distributed matrix. |

`...` |
Ignored. |

`retx` |
logical, indicates whether the rotated variables should be returned |

`center` |
logical value, determines whether or not columns are zero centered |

`scale.` |
logical value, determines whether or not columns are rescaled to unit variance |

`tol` |
a value indicating the magnitude below which components should be
omitted. (Components are omitted if their standard deviations are less than
or equal to |

`prcomp()`

performs the principal components analysis on the data
matrix by taking the SVD. Sometimes core R and pbdDMAT will disagree
slightly in what the rotated variables are because of how the SVD is
caluclated.

Returns a list.

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