R: Wine recognition data

wine {gclus} | R Documentation

## Wine recognition data

### Description

Data from the machine learning repository. A chemical analysis of 178 Italian wines from three different cultivars yielded 13 measurements. This dataset is often used to test and compare the performance of various classification algorithms.

### Usage

    data(wine)

### Format

This data frame contains the following columns:

Class:

  There are 3 classes

Alcohol:

  Alcohol

Malic:

  Malic acid

Ash:

  Ash

Alcalinity:

  Alcalinity of ash

Magnesium:

  Magnesium

Phenols:

  Total phenols

Flavanoids:

  Flavanoids

Nonflavanoid:

  Nonflavanoid phenols

Proanthocyanins:

  Proanthocyanins

Intensity:

  Color intensity

Hue:

  Hue

OD280:

  OD280/OD315 of diluted wines

Proline:

  Proline

### Source

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.

### References

Blake, C.L. and Merz, C.J. (1998), UCI Repository of machine learning databases, \ http://www.ics.uci.edu/~mlearn/MLRepository.html. Irvine, CA: University of California, Department of Information and Computer Science.

The database does not list the variable names. These were located at http://www.radwin.org/michael/projects/learning/about-wine.html.

[Package gclus version 1.3.1 Index]