Wine data set from the UCI machine learning repository (https://archive.ics.uci.edu/ml/datasets/wine). Results of a chemical analysis of three types of wines grown in the same region in Italy but derived from three different cultivars.

## Source

Original owners: 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.

Donor: Stefan Aeberhard, email: stefan@coral.cs.jcu.edu.au

## Construction

mlr_tasks\$get("wine")
tsk("wine")


## References

Dua, D. and Graff, C. (2019). UCI Machine Learning Repository http://archive.ics.uci.edu/ml. Irvine, CA: University of California, School of Information and Computer Science.