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
catype = "SOCA" or
catype = "SONSCA".
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.
This function belongs to the class called
Rosaria Lombardo and Eric J. Beh
Beh EJ and Lombardo R 2014 Correspondence Analysis: Theory, Practice and New Strategies. John Wiley & Sons. Lombardo R Beh EJ Variants of Simple Correspondence Analysis. The R Journal (accepted).