peanut

The <code>peanut</code> data frame has 16 rows and 6 columns.
Carbon dioxide effects on peanut oil extraction

datasets

Books are "Practical Regression and ANOVA in R" on CRAN, "Linear Models with R" published 1st Ed. August 2004, 2nd Ed. July 2014 by CRC press, ISBN 9781439887332, and "Extending the Linear Model with R" published by CRC press in 1st Ed. December 2005 and 2nd Ed. March 2016, ISBN 9781584884248.

Julian Faraway

faraway

Functions and Datasets for Books by Julian Faraway

peanut function

This data frame contains the following columns:<dl>
<dt><code>press</code></dt>
<dd>CO2 pressure - two levels low=0, high=1</dd><dt><code>temp</code></dt>
<dd>CO2 temperature - two levels low=0, high=1</dd><dt><code>moist</code></dt>
<dd>peanut moisture - two levels low=0, high=1</dd><dt><code>flow</code></dt>
<dd>CO2 flow rate - two levels low=0, high=1</dd><dt><code>size</code></dt>
<dd>peanut particle size - two levels low=0, high=1</dd><dt><code>solubility</code></dt>
<dd>the amount of oil that could dissolve in the CO2</dd></dl>

Format

Carbon dioxide effects on peanut oil extraction — peanut

This data frame contains the following columns:<dl>
<dt><code>press</code></dt>
<dd>CO2 pressure - two levels low=0, high=1</dd>

<dt><code>temp</code></dt>
<dd>CO2 temperature - two levels low=0, high=1</dd>

<dt><code>moist</code></dt>
<dd>peanut moisture - two levels low=0, high=1</dd>

<dt><code>flow</code></dt>
<dd>CO2 flow rate - two levels low=0, high=1</dd>

<dt><code>size</code></dt>
<dd>peanut particle size - two levels low=0, high=1</dd>

<dt><code>solubility</code></dt>
<dd>the amount of oil that could dissolve in the CO2</dd>

</dl>

peanut: Carbon dioxide effects on peanut oil extraction

Description

Usage

Arguments

Format