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.
lll{
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.
http://archive.ics.uci.edu/ml/datasets/WineReferences
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.