Wine aroma ratings data

A wine producer wants to know how the chemical composition of his wine relates to sensory evaluations. He has 37 Pinot Noir samples, each described by 17 elemental concentrations (Cd, Mo, Mn, Ni, Cu, Al, Ba, Cr, Sr, Pb, B, Mg, Si, Na, Ca, P, K) and a score on the wine's aroma from a panel of judges. He wants to predict the aroma score from the 17 elements. Data are from: I.E. Frank and B.R. Kowalski (1984). "Prediction of Wine Quality and Geographic Origin from Chemical Measurements by Partial Least-Squares Regression Modeling," Analytica Chimica Acta , 162, 241 − 251.

You can use this data to demonstrate Partial Least Squares Regression.

Worksheet column Description Variable type
Cd The concentration of Cadmium in the wine sample Predictor
Mo The concentration of Molybdenum in the wine sample Predictor
Mn The concentration of Manganese in the wine sample Predictor
Ni The concentration of Nickel in the wine sample Predictor
Cu The concentration of Copper in the wine sample Predictor
Al The concentration of Aluminum in the wine sample Predictor
Ba The concentration of Barium in the wine sample Predictor
Cr The concentration of Chromium in the wine sample Predictor
Sr The concentration of Strontium in the wine sample Predictor
Pb The concentration of Lead in the wine sample Predictor
B The concentration of Boron in the wine sample Predictor
Mg The concentration of Magnesium in the wine sample Predictor
Si The concentration of Silicon in the wine sample Predictor
Na The concentration of Sodium in the wine sample Predictor
Ca The concentration of Calcium in the wine sample Predictor
P The concentration of Phosphorus in the wine sample Predictor
K The concentration of Potassium in the wine sample Predictor
Aroma The aroma rating of each wine sample Response
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