<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"><html xmlns="http://www.w3.org/1999/xhtml"><head><title>R: Prediction Data - Concrete Slump Test</title>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<link rel="stylesheet" type="text/css" href="https://rpkg.net/assets/examples.css" />
</head><body>

<table width="100%" summary="page for preddata.std"><tr><td>preddata.std</td><td style="text-align: right;">R Documentation</td></tr></table>

<h2>Prediction Data - Concrete Slump Test</h2>

<h3>Description</h3>

<p>Pre-processed and standardized Concrete Slump Test is a
real-life data set from
University of California at Irvine (UCI) machine learning data
repository UCI: Machine Learning Repository
(available at http://archive.ics.uci.edu/ml/).
</p>


<h3>Usage</h3>

<pre>
data(preddata.std)
</pre>


<h3>Format</h3>

<p>A data frame with 103 rows and 8 variables.
</p>


<h3>Source</h3>

<p>https://archive.ics.uci.edu/ml/datasets/Concrete+Compressive+Strength
</p>


<h3>References</h3>

<p>Yeh, I.-C. (2007).
Modeling slump flow of concrete using second-order regressions
and artificial neural networks.
Cement and Concrete Composites, 29(6): 474 - 480.
</p>


<h3>Examples</h3>

<pre>
## Not run: 
data(preddata.std)
cmaRs(Compressive_Strength ~ ., classification = FALSE, data = preddata.std)

## End(Not run)
</pre>


</body></html>
