returns the number of observations violating k-anonymity.
kAnon_violations(object, weighted, k) # S4 method for sdcMicroObj,logical,numeric kAnon_violations(object, weighted, k)
FALSE defining if sampling weights should be taken into account
a positive number defining parameter k
the number of records that are violating k-anonymity based on
unweighted sample data only (in case parameter
FALSE) or computing
the number of observations that are estimated to violate k-anonymity in the population in case