wine: Italian Wine
In pgmm: Parsimonious Gaussian Mixture Models
wine R Documentation
Italian Wine
Description
Data on 27 chemical and physical properties of three types of wine (Barolo, Grignolino, Barbera) from the Piedmont region of Italy. The study did include one further variable but the sulphur measurements were not available.
Usage
data(wine)
Format
A data frame with 178 observations and 28 columns. The first column gives the type of wine: (1) Barolo, (2) Grignolino, or (3) Barbera. The other 27 columns contain the variables.
Source
Forina, M., Armanino, C., Castino, M. and Ubigli, M. (1986). Multivariate data analysis as a discriminating method of the origin of wines. Vitis 25, 189–201.
pgmm documentation built on April 4, 2025, 5:20 a.m.
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| wine | R Documentation |
Italian Wine
Description
Data on 27 chemical and physical properties of three types of wine (Barolo, Grignolino, Barbera) from the Piedmont region of Italy. The study did include one further variable but the sulphur measurements were not available.
Usage
data(wine)Format
A data frame with 178 observations and 28 columns. The first column gives the type of wine: (1) Barolo, (2) Grignolino, or (3) Barbera. The other 27 columns contain the variables.
Source
Forina, M., Armanino, C., Castino, M. and Ubigli, M. (1986). Multivariate data analysis as a discriminating method of the origin of wines. Vitis 25, 189–201.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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