e/Multilevel model

Information
has gloss	eng: Multilevel models (also hierarchical linear models, nested models, mixed models, random coefficient, random-effects models, random parameter models, or split-plot designs) are statistical models of parameters that vary at more than one level. These models can be seen as generalizations of linear models, although they can also extend to non-linear models. Although not a new idea, they have been much more popular following the growth of computing power and availability of software.
lexicalization	eng: Multilevel model
instance of	e/Statistical model