linmod: Linear Regression

In lfpdroubi/linmod: Linear Regression

Description

Fit a linear regression model.

Usage

linmod(x, ...)

## Default S3 method:
linmod(x, y, ...)

## S3 method for class 'formula'
linmod(formula, data = list(), ...)

## S3 method for class 'linmod'
print(x, ...)

## S3 method for class 'linmod'
summary(object, ...)

## S3 method for class 'summary.linmod'
print(x, ...)

Arguments

x	a numeric design matrix for the model.
y	a numeric vector of responses.
formula	a symbolic description of the model to be fit.
data	an optional data frame containing the variables in the model.
object	an object of class "linmod", i.e., a fitted model.
...	not used.

Value

An object of class logreg, basically a list including elements

coefficients	a named vector of coefficients
vcov	covariance matrix of coefficients
fitted.values	fitted values
residuals	residuals

Author(s)

Friedrich Leisch

Examples

data(cats, package="MASS")
mod1 <- linmod(Hwt~Bwt*Sex, data=cats)
mod1
summary(mod1)

lfpdroubi/linmod documentation built on May 21, 2019, 5:12 a.m.