An investigation on canonic corelation analysis

Nowadays, thanks to developing technology and information systems, the analysis of multivariate data sets has become easier. canonical correlation analysis, which is one of the multivariate statistical methods, is frequently preferred by researchers because it can be used for both metric and non-metric data, and one of the variable sets does not have to be dependent on the other. In this study, canonical correlation analysis method and mathematical solution process are explained in detail. Finally, the relationship between health risk factors in OECD countries and welfare indicators in OECD countries was examined using canonical correlation analysis. Keywords: Canonical Correlation Analysis, Multivariate Statistical Methods, OECD Countries Health Risk Factors, OECD Countries Welfare Indicators.