Canonical correlation analysis description

Cancer-risk-diet relationship, 262 Canonical correlation analysis, 104 Capsaicin, 15-16 N-(Carboxymethyl)chitosan, preservation of meat flavor, 73 Carrageenan, fat replacement in ground beef, 73-75 Carry-over, description, 57 Carry-through, description, 57 Carvone, headspace analysis, 24,25/ L-Carvone, chemicals resulting in anosmias, 211... 

Concluding the section on the PLS modeling it should be pointed out that results from the application of canonical correlation analysis (see also Section 5.5) for the quantitative description of interactions between river water and sediments are comparable to those from PLS analyses [GEISS, 1990]. 

Besides the descriptive values, it is also interesting to know the correlations between the two groups of variables (rXi,Yj)- The multivariate statistical methods for this data matrix are Canonical Correlation Analysis (CCA) to investigate the relationship between both sets of variables, and Multivariate Regression with a view to predicting the values of the response variables in the Y-block in function of the variables in the X-block, using a mathematical model. 

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