You are working with the text-only light edition of "H.Lohninger: Teach/Me Data Analysis, Springer-Verlag, Berlin-New York-Tokyo, 1999. ISBN 3-540-14743-8". Click here for further information.
| You are working with the text-only light edition of "H.Lohninger: Teach/Me Data Analysis, Springer-Verlag, Berlin-New York-Tokyo, 1999. ISBN 3-540-14743-8". Click here for further information.
|
Table of Contents  Appendix Exercises Classification of Wine |
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| See also: PCA, Survey of Exercises |   |
Suppose you are an importer of Italian wine who has received a new supply
of wine. Opening and tasting the wine makes you sceptical. The label of
the wine does not correspond to the contents of the bottle. So you go to
your lab (fortunately you are an analytical chemist, too) and analyze two
samples of two different bottles. Here are the results of your analysis:
Sample 1 Sample 2 alcohol 13.48 14.06 malic-acid 1.67 2.15 ash 2.64 2.61 alcali-ash 22.5 17.6 magnesium 89 121 phenol-total 2.6 2.6 flavanoids 1.1 2.51 nonflav.ph. 0.52 0.31 proanthcya 2.29 1.25 color intensity 11.75 5.05 hue 0.57 1.06 OD280OD315 1.78 3.58 proline 620 1295
Now take the data set WINE and go to the 
in order to compare the unknown samples with the analysis of known wines.
Try to use principal component analysis in order to get an idea of the
unknowns.
Last Update: 2005-Jul-16