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<!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: N. L. Prater's Petrol Refinery Data</title> <meta http-equiv="Content-Type" content="text/html; charset=utf-8" /> <link rel="stylesheet" type="text/css" href="R.css" /> </head><body> <table width="100%" summary="page for petrol {MASS}"><tr><td>petrol {MASS}</td><td style="text-align: right;">R Documentation</td></tr></table> <h2> N. L. Prater's Petrol Refinery Data </h2> <h3>Description</h3> <p>The yield of a petroleum refining process with four covariates. The crude oil appears to come from only 10 distinct samples. </p> <p>These data were originally used by Prater (1956) to build an estimation equation for the yield of the refining process of crude oil to gasoline. </p> <h3>Usage</h3> <pre> petrol </pre> <h3>Format</h3> <p>The variables are as follows </p> <dl> <dt><code>No</code></dt><dd> <p>crude oil sample identification label. (Factor.) </p> </dd> <dt><code>SG</code></dt><dd> <p>specific gravity, degrees API. (Constant within sample.) </p> </dd> <dt><code>VP</code></dt><dd> <p>vapour pressure in pounds per square inch. (Constant within sample.) </p> </dd> <dt><code>V10</code></dt><dd> <p>volatility of crude; ASTM 10% point. (Constant within sample.) </p> </dd> <dt><code>EP</code></dt><dd> <p>desired volatility of gasoline. (The end point. Varies within sample.) </p> </dd> <dt><code>Y</code></dt><dd> <p>yield as a percentage of crude. </p> </dd> </dl> <h3>Source</h3> <p>N. H. Prater (1956) Estimate gasoline yields from crudes. <em>Petroleum Refiner</em> <b>35</b>, 236–238. </p> <p>This dataset is also given in D. J. Hand, F. Daly, K. McConway, D. Lunn and E. Ostrowski (eds) (1994) <em>A Handbook of Small Data Sets.</em> Chapman & Hall. </p> <h3>References</h3> <p>Venables, W. N. and Ripley, B. D. (2002) <em>Modern Applied Statistics with S.</em> Fourth edition. Springer. </p> <h3>Examples</h3> <pre> library(nlme) Petrol <- petrol Petrol[, 2:5] <- scale(as.matrix(Petrol[, 2:5]), scale = FALSE) pet3.lme <- lme(Y ~ SG + VP + V10 + EP, random = ~ 1 | No, data = Petrol) pet3.lme <- update(pet3.lme, method = "ML") pet4.lme <- update(pet3.lme, fixed = Y ~ V10 + EP) anova(pet4.lme, pet3.lme) </pre> <hr /><div style="text-align: center;">[Package <em>MASS</em> version 7.3-51.4 <a href="00Index.html">Index</a>]</div> </body></html>