Interesting real life data rarely conform to classical text book assumptions about data structures. Traditionally these assumptions are about observations that can be modelled with independently, and typically identically, distributed ‘error’ terms. More often than not, however, the populations that generate data samples have complex structures where measurements on data units are not mutually independent, but depend on each other through complex structural relationships.