apricom (version 1.0.0)

ols.rgr: Linear Regression using Ordinary Least Squares

Description

Fit a linear regression model using Ordinary Least Squares.

Usage

ols.rgr(dataset)

Arguments

dataset

a p x m data matrix, where the final column is a continuous outcome variable. datashape may be applied to data so that the dataset is in the correct format for this function (see manual)

Value

the function returns a column-vector containing the linear regression coefficients.

Details

This function may be called directly. For regression with an intercept included, the first column in the dataset must be a column of 1s.

Examples

## Linear regression using a subset of the mtcars data (outcome is "wt")
data(mtcars)
mtc.df <- mtcars[, c(6, 1, 4)]
mtc.shaped <- datashape(dataset = mtc.df, y = 1)
ols.rgr(mtc.shaped)
ols.rgr(cbind(1,mtc.shaped))