Abstract
In this paper, ordered categorical and dichotomous data are used in generalized nonlinear canonical correlation analysis to study the relationship between two or more sets of variables. Statistical analyses involving generalized nonlinear canonical correlation analysis, component loadings, and object scores are discussed in this paper. The proposed procedure is illustrated using a real data set (patients with high blood pressure). Analyses are done using SPSS program. The component loadings graph of the three sets shows the relationship between the three sets and their impact on the data set of patients with high blood pressure. The centroid graph of the categories also shows the relationship between them.
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