Linear relationship between time, variable.

Optimization using linear mathematical relationships.

The general linear model or general multivariate regression model is a compact way of simultaneously writing several multiple linear regression models.

In statistics, a generalized linear model is a flexible generalization of ordinary linear regression.

A partially linear model is a form of semiparametric model, since it contains parametric and nonparametric elements.

In statistics, a generalized linear mixed model is an extension to the generalized linear model in which the linear predictor contains random effects in addition to the usual fixed effects.