# anova.corregp: Building an ANOVA Table for Correspondence Regression In corregp: Functions and Methods for Correspondence Regression

## Description

Method to construct an ANOVA table for correspondence regression, i.e. a table with the Chi-squared deviation for each term in the `formula` of the `corregp` call (or of each individual level in X in case `xep = FALSE`).

## Usage

 ```1 2``` ```## S3 method for class 'corregp' anova(object, nf = NULL, cl = 0.95, nq = TRUE, ...) ```

## Arguments

 `object` The output of a call to `corregp` (i.e. an object of class "corregp"). `nf` The number of dimensions to be retained in the reduced space. Defaults to all dimensions (no reduction). `cl` The confidence level for the confidence intervals. Defaults to `0.95`. `nq` Logical specifying whether to use a normal quantile (i.e. apply `qnorm`) in the computation of the confidence interval. Defaults to `TRUE`. If `FALSE`, then the confidence interval is computed directly with the `quantile` function. `...` Further arguments passed to or from other methods.

## Details

If `object` was made with bootstrap replications, then `anova.corregp` will automatically compute confidence intervals for the Chi-squared deviations by means of the `ci` function.

## Value

A matrix with the Chi-squared deviations for all the terms in the `formula` of `object`, based on the selected number of dimensions. If `object` was made with the argument `xep = FALSE`, then the output contains the Chi-squared deviation for every individual level in X.

`print.anova.corregp`, `ci`, `summary.corregp`.
 ```1 2 3``` ```data(HairEye) haireye.crg <- corregp(Eye ~ Hair * Sex, data = HairEye, b = 3000) anova(haireye.crg, nf = 2) ```