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📁 应用程序 偏最小二乘法回归分析 pls matlab
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<html><head><title>R: Multivariate Dataset of Sensory Data</title>
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<table width="100%" summary="page for sensory {pls}"><tr><td>sensory {pls}</td><td align="right">R Documentation</td></tr></table>
<h2>Multivariate Dataset of Sensory Data</h2>


<h3>Description</h3>

<p>
Panel gives scores from a sensory panel on a set of 6
attributes for 16 olive oil samples.  Quality gives the results of 5
physico-chemical quality parameters.  The first five oils are Greek,
the next five are Italian and the last six are Spanish.  This data set
illustrates the qualitative capabilities of PLS.
</p>


<h3>Usage</h3>

<pre>data(sensory)</pre>


<h3>Format</h3>

<p>
A data frame with matrices Quality (16 x 5) and Panel (16 x 6).
</p>


<h3>Source</h3>

<p>
Massart, D. L., Vandeginste, B. G. M., Buydens, L. M. C., de Jong, S.,
Lewi, P. J., Smeyers-Verbeke, J. (1998)  <EM>Handbook of
Chemometrics and Qualimetrics: Part B</EM>.  Elsevier. Tables 35.1 and 35.4.
</p>



<hr><div align="center">[Package <em>pls</em> version 1.1-0 <a href="00Index.html">Index]</a></div>

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