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Key Concepts and Terms Types of variables . In log-linear analysis, variables may be factors, dependents, covariates, contrasts, or cell structure variables. Not each type of log-linear procedure supports all types. Factors , also known as "response variables," are categorical variables which define rows and columns in a crosstabulation table.In hierarchical loglinear models in SPSS, 10 factors are possible and the researcher can specify which levels of each to analyse. In probit models, the factor's levels are used to define subgroups for analysis. Loglinear Models: Statnotes, from North Carolina State Universit
In statistics, nonlinear regression is a form of regression analysis in which observational data are modeled by a function which is a nonlinear combination of the model parameters and depends on one or more independent variables. The data are fitted by a method of successive approximations. [ edit ] General Nonlinear regression