# Principal Components Analysis

### Description

Performs the principal components analysis.

### Usage

1 2 3 4 5 |

### Arguments

`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 |

### Details

`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.

### Value

Returns a list.

### Examples

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 |