Fetched from PMLB. Physicochemical and quality of wine.
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A data frame with 1599 observations and 12 variables:
fixed.acidity, volatile.acidity,
citric.acid, residual.sugar, chlorides, free.sulfur.dioxide,
total.sulfur.dioxide, density, pH, sulphates,
alcohol and target (quality).
http://archive.ics.uci.edu/ml/datasets/Wine+Quality
P. Cortez, A. Cerdeira, F. Almeida, T. Matos and J. Reis. Modeling wine preferences by data mining from physicochemical properties. In Decision Support Systems, Elsevier, 47(4):547-553, 2009.
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