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

Download WineAroma.MTW