varmlm: Residual variance of a model

In compositions: Compositional Data Analysis

Residual variance of a model

Description

Computes the unbiased estimate for the variance of the residuals of a model.

Usage

## S3 method for class 'mlm'
var(x,...) 
## S3 method for class 'lm'
var(x,...) 
          

Arguments

x	a linear model object
...	Unused, for generic purposes only.

Details

The difference of this command to var(resid(X)) is that this command correctly adjusts for the degrees of freedom of the model.

Value

var.lm	returns a scalar giving the estimated variance of the residuals
var.mlm	returns a the estimated variance covariance matrix of the residuals

Author(s)

K.Gerald v.d. Boogaart http://www.stat.boogaart.de, Raimon Tolosana-Delgado

See Also

vcov

Examples

data(Orange)
var(lm(circumference~age,data=Orange))
var(lm(cbind(circumference,age)~age,data=Orange))

compositions documentation built on June 22, 2024, 12:15 p.m.