estimNC estimates the number of MFA components for
data imputation. This function is called internally
MIMFA and is not usually called
directly by a user.
estimNC(X, minNC=0, maxNC)
a numeric matrix.
minimum number of components to consider, by default 0.
maximum number of components to test.
Partially borrowed from the
function in the FactoMineR package,
the number of MFA components for data imputation using the
generalized cross-validation approximation method.
Return the number of MFA components to use in data imputation.
Josse, J. and Husson, F. (2012). Selecting the number of components in PCA using cross-validation approximations. Computational Statistics and Data Analysis, 56, 1869-1879.
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