wines: Wines dataset

In plspm: Partial Least Squares Path Modeling (PLS-PM)

Wines dataset

Description

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.

Format

A data frame with 178 observations and 14 variables.

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

Source

Machine Learning Repository. https://archive.ics.uci.edu/ml/datasets/Wine

References

Forina, M. et al, PARVUS An Extendible Package for Data Exploration, Classification and Correlation. Institute of Pharmaceutical and Food Analysis and Technologies, Via Brigata Salerno, 16147 Genoa, Italy.

Examples

  data(wines)
  wines

plspm documentation built on June 22, 2024, 11:29 a.m.