wines

These data are the results of a chemical analysis of wines grown in the same region in Italy but derived from three different cultivars. The analysis determined the quantities of 13 constituents found in each of the three types of wines.

datasets

Partial Least Squares Path Modeling (PLS-PM), Tenenhaus, Esposito Vinzi, Chatelin, Lauro (2005) <doi:10.1016/j.csda.2004.03.005>,
analysis for both metric and non-metric data, as well as REBUS analysis, Esposito Vinzi, Trinchera, Squillacciotti, and Tenenhaus (2008) <doi:10.1002/asmb.728>.

Frederic Bertrand

plspm

Partial Least Squares Path Modeling (PLS-PM)

Gaston Sanchez

Laura Trinchera

Giorgio Russolillo

wines function

A data frame with 178 observations and 14 variables.
<table class="table">
<tr><td>Num</td><td>Variable</td><td>Description</td></tr>
<tr><td>1</td><td>class</td><td>Type of wine</td></tr>
<tr><td>2</td><td>alcohol</td><td>Alcohol</td></tr>
<tr><td>3</td><td>malic.acid</td><td>Malic acid</td></tr>
<tr><td>4</td><td>ash</td><td>Ash</td></tr>
<tr><td>5</td><td>alcalinity</td><td>Alcalinity</td></tr>
<tr><td>6</td><td>magnesium</td><td>Magnesium</td></tr>
<tr><td>7</td><td>phenols</td><td>Total phenols</td></tr>
<tr><td>8</td><td>flavanoids</td><td>Flavanoids</td></tr>
<tr><td>9</td><td>nofla.phen</td><td>Nonflavanoid phenols</td></tr>
<tr><td>10</td><td>proantho</td><td>Proanthocyanins</td></tr>
<tr><td>11</td><td>col.intens</td><td>Color intensity</td></tr>
<tr><td>12</td><td>hue</td><td>Hue</td></tr>
<tr><td>13</td><td>diluted</td><td>OD280/OD315 of diluted wines</td></tr>
<tr><td>14</td><td>proline</td><td>Proline</td></tr>
</table>

Format

Wines dataset — wines

A data frame with 178 observations and 14 variables.
<table class='table'>
<tr><td>Num</td><td>Variable</td><td>Description</td></tr>
<tr><td>1</td><td>class</td><td>Type of wine</td></tr>
<tr><td>2</td><td>alcohol</td><td>Alcohol</td></tr>
<tr><td>3</td><td>malic.acid</td><td>Malic acid</td></tr>
<tr><td>4</td><td>ash</td><td>Ash</td></tr>
<tr><td>5</td><td>alcalinity</td><td>Alcalinity</td></tr>
<tr><td>6</td><td>magnesium</td><td>Magnesium</td></tr>
<tr><td>7</td><td>phenols</td><td>Total phenols</td></tr>
<tr><td>8</td><td>flavanoids</td><td>Flavanoids</td></tr>
<tr><td>9</td><td>nofla.phen</td><td>Nonflavanoid phenols</td></tr>
<tr><td>10</td><td>proantho</td><td>Proanthocyanins</td></tr>
<tr><td>11</td><td>col.intens</td><td>Color intensity</td></tr>
<tr><td>12</td><td>hue</td><td>Hue</td></tr>
<tr><td>13</td><td>diluted</td><td>OD280/OD315 of diluted wines</td></tr>
<tr><td>14</td><td>proline</td><td>Proline</td></tr>
</table>

wines: Wines dataset

Description

Arguments

Format

References

Examples

Num	Variable	Description
1	class	Type of wine
2	alcohol	Alcohol
3	malic.acid	Malic acid
4	ash	Ash
5	alcalinity	Alcalinity
6	magnesium	Magnesium
7	phenols	Total phenols
8	flavanoids	Flavanoids
9	nofla.phen	Nonflavanoid phenols
10	proantho	Proanthocyanins
11	col.intens	Color intensity
12	hue	Hue
13	diluted	OD280/OD315 of diluted wines
14	proline	Proline