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"`

.

1 |

`Z` |
The matrix of generalised correlations between the polynomial and principal axes. |

The value returned is the matrix

`comps` |
The matrix of the column polynomial component of inertia. |

This function belongs to the class called `cacorporateplus`

.

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).

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