# Internal cocorresp Functions

### Description

Internal cocorresp functions.

`predcoca.simpls`

, `predcoca.eigen`

and `symcoca`

perform the actual fitting of Co-CA models.

### Usage

1 2 3 4 5 6 |

### Arguments

`y` |
a data frame containing the response community data matrix. |

`x` |
a data frame containing the predictor community data matrix. |

`R0` |
a vector of length |

`n.axes` |
the number of CoCA axes to extract. If missing (default)
the |

`symmetric` |
if |

`nam.dat` |
an optional list with elements |

`Y` |
a matrix for which standardised chi-square residuals are to be calculated. |

`eps` |
tolerance - leave as default. |

### Details

These are not to be called by the user.

`predcoca.simpls`

, `predcoca.eigen`

and `symcoca`

perform the actual model fitting but are not meant to be called by the
user as `coca`

pre-processes the input data before calling these
functions.