## S3 method for class 'mca':
print(x, ...)
## S3 method for class 'mca':
summary(object, ...)
## S3 method for class 'mca':
plot(x, ...)
## S3 method for class 'mca':
fitted(object, which=NA, components=FALSE, ...)
## S3 method for class 'mca':
residuals(object, which=NA, ...)
## S3 method for class 'mca':
predict(object, which=NA, newdata=NA, components=FALSE, ...)mca-class object.mca-class object.mcaobj is
untested.mca-class objects contain:y) and explanatory
(x) variables that were given to MCA.eigenmap-class object that was given to
MCA.U) with variable
y and x, the codependence coefficients $\mathbf{c}$ and
the coregression coefficients $\mathbf{b}$.test.mca or permute.mca. NULL if
no testing was performed, such as when only mca had
been called. The results of statistical testing is a list containing
the following members:permute.mca for permutation testing. 0 or FALSE
for parametric testing obtained using test.mca.y and
x, in decreasing order of magnitude.test.table. NULL for parametric testing.fitted, residuals, and predict methods return
a single-column matrix of fitted, residuals, or predicted values,
respectively. The fitted and predict methods return a
list a list when the parameter component is TRUE. The
list contains the fitted or predicted values as a first
item and a matrix components as a second. This matrix has one
column for each statistically significant codependence coefficient.