Cement

Cement hardening data from Woods et al (1932).

datasets

Tools for model selection and model averaging with support for a
wide range of statistical models. Automated model selection through
subsets of the maximum model, with optional constraints for model
inclusion. Averaging of model parameters and predictions based on
model weights derived from information criteria (AICc and alike)
or custom model weighting schemes.

Kamil Barto

MuMIn

Multi-Model Inference

Kamil Bartoń

Cement function

<code>Cement</code> is a data frame with 5 variables. <var>x1</var>-<var>x4</var> are four predictor
variables expressed as a percentage of weight.
<dl>
 <dt>y</dt>
<dd>calories of heat evolved per gram of cement after 180 days of
	hardening</dd>
 
 <dt>X1</dt>
<dd>calcium aluminate</dd> <dt>X2</dt>
<dd>tricalcium silicate</dd> <dt>X3</dt>
<dd>tetracalcium alumino ferrite</dd> <dt>X4</dt>
<dd>dicalcium silicate.</dd></dl>

Format

Cement hardening data — Cement

<code>Cement</code> is a data frame with 5 variables. <var>x1</var>-<var>x4</var> are four predictor
variables expressed as a percentage of weight.
<dl>
 <dt>y</dt>
<dd>calories of heat evolved per gram of cement after 180 days of
	hardening</dd>
 
 <dt>X1</dt>
<dd>calcium aluminate</dd>

 <dt>X2</dt>
<dd>tricalcium silicate</dd>

 <dt>X3</dt>
<dd>tetracalcium alumino ferrite</dd>

 <dt>X4</dt>
<dd>dicalcium silicate.</dd>



</dl>

Cement: Cement hardening data

Description

Usage

Arguments

Format

References