can_lm {candisc} | R Documentation |

## Transform a Multivariate Linear model mlm to a Canonical Representation

### Description

This function uses `candisc`

to transform the responses in a
multivariate linear model to scores on canonical variables for a given term and then uses
those scores as responses in a linear (lm) or multivariate linear model (mlm).

The function constructs a model formula of the form `Can ~ terms`

where
Can is the canonical score(s) and terms are the terms in the original mlm,
then runs lm() with that formula.

### Usage

```
can_lm(mod, term, ...)
```

### Arguments

`mod` |
A |

`term` |
One term in that model |

`...` |
Arguments passed to |

### Value

A `lm`

object if `term`

is a rank 1 hypothesis, otherwise a `mlm`

object

### Author(s)

Michael Friendly

### See Also

### Examples

```
iris.mod <- lm(cbind(Petal.Length, Sepal.Length, Petal.Width, Sepal.Width) ~ Species, data=iris)
iris.can <- can_lm(iris.mod, "Species")
iris.can
car::Anova(iris.mod)
car::Anova(iris.can)
```

[Package

*candisc*version 0.9.0 Index]