JMP 14.1 Online Documentation (English)
Discovering JMP
Using JMP
Basic Analysis
Essential Graphing
Profilers
Design of Experiments Guide
Fitting Linear Models
Predictive and Specialized Modeling
Multivariate Methods
Quality and Process Methods
Reliability and Survival Methods
Consumer Research
Scripting Guide
JSL Syntax Reference
JMP iPad Help
JMP Interactive HTML
Capabilities Index
JMP 13 Online Documentation
JMP 12 Online Documentation
Fitting Linear Models •
Standard Least Squares Report and Options
• Mixed and Random Effect Model Reports and Options
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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.
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Mixed Models and Random Effect Models
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Restricted Maximum Likelihood (REML) Method
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EMS (Traditional) Model Fit Reports
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Help created on 10/11/2018