correspondence analysis
result= ca(x_contingency);
a contingency matrix of dimension (n x q) or a Div structure
three lines corresponding to three statistics: 'eigenvalues', 'percentage of inertia' and 'percentage of cumulated inertia'; the columns correspond to the number of dimensions
n first lines= scores of the lines; q last lines = scores of the columns of x_contingency; the columns of result.scores.d correspond to the dimensions of the models
n first lines= contributions of the lines; q last lines = contributions of the columns of x_contingency; the columns of result.contributions.d correspond to the dimensions of the models
n first lines= squared cosinus of the lines; q last lines = squared cosinus of the columns of x_contingency; the columns of result.squared_cosinus.d correspond to the dimensions of the models
the khi2 of the contingency table
the degrees of freedom of the contingency table
the probability of random values in the contingency table