oliveoil

A data set with scores on 6 attributes from a sensory panel and
 measurements of 5 physico-chemical quality parameters on 16 olive oil
 samples. The first five oils are Greek, the next five are Italian and
 the last six are Spanish.

datasets

Multivariate regression methods
Partial Least Squares Regression (PLSR), Principal Component
Regression (PCR) and Canonical Powered Partial Least Squares (CPPLS).

Bj�rn-Helge Mevik

Partial Least Squares and Principal Component Regression

oliveoil function

A data frame with 16 observations on the following 2 variables.<dl class="dl-horizontal">
 <dt><code>sensory</code></dt><dd>a matrix with 6 columns. Scores for
 attributes &#8216;yellow&#8217;, &#8216;green&#8217;, &#8216;brown&#8217;,
 &#8216;glossy&#8217;, &#8216;transp&#8217;, and &#8216;syrup&#8217;.</dd>
 <dt><code>chemical</code></dt><dd>a matrix with 5 columns. Measurements of
 acidity, peroxide, K232, K270, and DK.</dd>
 </dl>

Format

Sensory and physico-chemical data of olive oils — oliveoil

A data frame with 16 observations on the following 2 variables.<dl class='dl-horizontal'>
 <dt><code>sensory</code></dt><dd>a matrix with 6 columns. Scores for
 attributes &#8216;yellow&#8217;, &#8216;green&#8217;, &#8216;brown&#8217;,
 &#8216;glossy&#8217;, &#8216;transp&#8217;, and &#8216;syrup&#8217;.</dd>
 <dt><code>chemical</code></dt><dd>a matrix with 5 columns. Measurements of
 acidity, peroxide, K232, K270, and DK.</dd>
 </dl>

oliveoil: Sensory and physico-chemical data of olive oils

Description

Usage

Arguments

Format