pathoeg

Artificial regression data which causes stepwise regression
with AIC to produce a highly non-parsimonious model. The
true model used to simulate the data has only one real
predictor (x8).

datasets

Most of this package consists of data sets from the
textbook Introduction
to Linear Regression Analysis (3rd ed), by Montgomery, Peck
and Vining.
Some additional data sets and functions are also included.

W.J. Braun

Data Sets from Montgomery, Peck and Vining

S. MacQueen

pathoeg function

This data frame contains the following columns:<dl>
 <dt>x1</dt>
<dd>a numeric vector</dd> <dt>x2</dt>
<dd>a numeric vector</dd> <dt>x3</dt>
<dd>a numeric vector</dd> <dt>x4</dt>
<dd>a numeric vector</dd> <dt>x5</dt>
<dd>a numeric vector</dd> <dt>x6</dt>
<dd>a numeric vector</dd> <dt>x7</dt>
<dd>a numeric vector</dd> <dt>x8</dt>
<dd>a numeric vector</dd> <dt>x9</dt>
<dd>a numeric vector</dd> <dt>y</dt>
<dd>a numeric vector</dd> 
</dl>

Format

Pathological Example — pathoeg

This data frame contains the following columns:<dl>
 <dt>x1</dt>
<dd>a numeric vector</dd>

 <dt>x2</dt>
<dd>a numeric vector</dd>

 <dt>x3</dt>
<dd>a numeric vector</dd>

 <dt>x4</dt>
<dd>a numeric vector</dd>

 <dt>x5</dt>
<dd>a numeric vector</dd>

 <dt>x6</dt>
<dd>a numeric vector</dd>

 <dt>x7</dt>
<dd>a numeric vector</dd>

 <dt>x8</dt>
<dd>a numeric vector</dd>

 <dt>x9</dt>
<dd>a numeric vector</dd>

 <dt>y</dt>
<dd>a numeric vector</dd>

 
</dl>

pathoeg: Pathological Example

Description

Usage

Arguments

Format