R: Comparison Summaries for Linear Regression Models

summary.lmfm {fit.models} | R Documentation

## Comparison Summaries for Linear Regression Models

### Description

Compute a summary of each model in an `lmfm` object.

### Usage

    ## S3 method for class 'lmfm'
    summary(object, correlation = FALSE, ...)

### Arguments

`object` | an `lmfm` object.
`correlation` | a logical value. If TRUE, the correlation matrices for the coefficients are included in the summaries.
`...` | additional arguments required by the generic `summary` function.

### Value

a list with class summary.lmfm whose elements are summaries of each model in `object`.

### Examples

    data(stackloss)
    m1 <- lm(stack.loss ~ ., data = stackloss)
    m2 <- lm(stack.loss ~ . - Acid.Conc., data = stackloss)

    fm <- fit.models(m1, m2)
    print(fm.sum <- summary(fm))

[Package fit.models version 0.5-14 Index]