First-year college Grade Point Average (<acronym>GPA</acronym>) from Graybill and Iyer (1994).

datasets

Tools for performing model selection and model averaging. Automated
model selection through subsetting the maximum model, with optional
constraints for model inclusion. Model parameter and prediction
averaging based on model weights derived from information criteria
(AICc and alike) or custom model weighting schemes.

Kamil Barto

MuMIn

Multi-Model Inference

GPA function

<code>GPA</code> is a data frame with 5 variables. <var>y</var> is the first-year college
Grade Point Average (<acronym>GPA</acronym>) and <var>x1</var>-<var>x4</var> are four predictor variables
from standardized tests (<acronym>SAT</acronym>) administered before matriculation.<dl>
 <dt>y</dt>
<dd><acronym>GPA</acronym></dd></dl> <dt>x1</dt>
<dd>math score on the <acronym>SAT</acronym></dd> <dt>x2</dt>
<dd>verbal score on the <acronym>SAT</acronym></dd> <dt>x3</dt>
<dd>high school math</dd> <dt>x4</dt>
<dd>high school English</dd>

Format

Grade Point Average data — GPA

<code>GPA</code> is a data frame with 5 variables. <var>y</var> is the first-year college
Grade Point Average (<acronym>GPA</acronym>) and <var>x1</var>-<var>x4</var> are four predictor variables
from standardized tests (<acronym>SAT</acronym>) administered before matriculation.

<dl>
 <dt>y</dt>
<dd><acronym>GPA</acronym></dd>

 <dt>x1</dt>
<dd>math score on the <acronym>SAT</acronym></dd>

 <dt>x2</dt>
<dd>verbal score on the <acronym>SAT</acronym></dd>

 <dt>x3</dt>
<dd>high school math</dd>

 <dt>x4</dt>
<dd>high school English</dd>


</dl>

GPA: Grade Point Average data

Description

Usage

Arguments

Format

References