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A Canonical-Correlation Model for Evaluation of Wines

Yanlin Su, Zhiwei Helian

Abstract


The high-quality wines are popular in 2014. It’s seems to be urgent to study that the main raw materials whether the quality of the red grapes and white grapes of the wine is good or bad a decisive role. Therefore analyzed the relationship between wines’ and grapes’ quality and physical and chemical indicators over thirty kinds of physical and chemical indicators of grape and wine. A Canonical-Correlation Analysis Method using SPSS on Evaluation of Wines is applied in this paper. The model established by the questions one to four are in strict theory based on analysis derived,comparing theoretical calculations with actual background,we have amended,therefore it makes model more reasonable.

Keywords


asymmetric fingerprinting, oblivious transfer, multicast.

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