# Lift measure for a frequent itemset

I found it's possible to add the lift measure to the quality measures of a frequent itemset in R returned by the Eclat algorithm:

frequentItems <- eclat(trans, parameter = list(supp = support, maxlen = 15))

quality(frequentItems)\$lift <- interestMeasure(frequentItems,
measure="lift", trans = trans)


I can't understand how the lift measure is calculated since I know it's related to association rules (antecedent ==> consequent) and not to a frequent itemset.