Multivariate analysis of chemical components of tobacco leaves
This study examined the Multivariate analysis of Chemical Components of Tobacco Leaves using Canonical Correlation Analysis which seeks to identify and quantify the association between two sets of variables. The paper focused on using Canonical Correlation Analysis to analyze data on chemical components of 25 tobacco leaf samples. The multivariate data satisfied the normality assumption. The data for this study, which contains three criterion measures and six predictor variables, were analyzed using the “SAS” statistical software package.