For the latest version of JMP Help, visit

Fitting Linear Models > Standard Least Squares Report and Options > Mixed and Random Effect Model Reports and Options
Publication date: 07/30/2020

Mixed and Random Effect Model Reports and Options

Mixed and random effect models can be specified in the Fit Model launch window. The Standard Least Squares personality fits the variance component covariance structure. Two methods, REML and EMS, are provided for fitting such models.

Note: JMP Pro users are encouraged to use the Mixed Model personality in the Fit Model window. The Mixed Model personality offers a broader set of covariance structures than does Standard Least Squares.

Mixed Models and Random Effect Models

Restricted Maximum Likelihood (REML) Method

EMS (Traditional) Model Fit Reports

Want more information? Have questions? Get answers in the JMP User Community (