For each variable, its missing data will be imputed according to the values of the latent variable of the group in which the variable belong to.
imput_clv(x, X0, K = NULL): an object of class clv
: the initial data matrix with missing values (NA)
: the number of Latent Variables to be considered, each of them being associated with a group of variables.
X0imput : the imputed data matrix, in the original scale
Ximput : the imputed matrix, centered and scaled according to the pretratment parameters chosen in CLV
It is adviced to use a larger number of latent variables, on the basis of which the imputation will be done, than the suspected 'true' number of groups of variables