A new algorithm and a discussion about visualization for logistic reduced rank regression

Abstract Logistic reduced rank regression is a useful data analysis tool when we have multiple binary response variables and set of predictors. In this paper, describe logistic present new majorization minimization algorithm for the estimation model parameters. Furthermore, discuss Type I D triplots visualizing results model, compare them, then develop hybrid triplot using elements both types. Two empirical sets are analyzed. This used to (1) an existing one in terms speed; (2) show its interpretation.