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Influence functions are derived for the parameters in the factor analysis (FA) regression and some measures are proposed to evaluate the influence on the estimated regression weights β^^^_F and on the squared correlation coefficient r^2 (β^^^_F). As an application, a numerical study is conducted to illustrate the present procedure and to show fundamental properties of influence in FA regression from the sensitivity perspective.
