This function allows the analyst to compute the contribution of the polynomial components to the inertia (chi-squared or tau).
The ordered variable should be the column variable that is transformed by polynomials.
The polynomial components are the column polynomial components.
The given input matrix is the Z matrix of generalised correlations from the hybrid decomposition.
It is called by CAvariants when catype = "SOCA" or catype = "SONSCA".
compsonetable.exe(Z)The matrix of generalised correlations between the polynomial and principal axes.
The value returned is the matrix
The matrix of the column polynomial component of inertia.
Beh EJ and Lombardo R 2014 Correspondence Analysis: Theory, Practice and New Strategies. John Wiley & Sons. Lombardo R Beh EJ 2016 Variants of Simple Correspondence Analysis. The R Journal, 8 (2), 167--184. Lombardo R Beh EJ and Kroonenberg PM 2016 Modelling Trends in Ordered Correspondence Analysis Using Orthogonal Polynomials. Psychometrika, 81(2), 325--349.