Modeling and Multivariate Methods - SAS

34 Introduction to the Fit Model Platform Chapter 2
Launch the Fit Model Platform
Table 2.1 Description of the Fit Model Launch Window (Continued)
Weight
Freq
By
(Optional) Identifies one column whose values supply weights for the
response. The corrected sum of squares is the number of observations minus
1.
(Optional) Identifies one column whose values assign a frequency to each
row for the analysis. The corrected sum of squares in the number of
frequencies minus one. Fractional frequencies (Freq values below 1) are
included in the analysis.
Performs a separate analysis for each level of the variable.
Add Adds effects to the model. See “Add” on page 39.
Cross
Creates an interaction effect by crossing two or more variables. See “Cross”
on page 40.
Nest Creates a nested effect. See “Nest” on page 40.
Macros
Degree
Attributes
Transform
No Intercept
Automatically generates effects for commonly used models. See “Macros” on
page 41.
Enter the desired degree for factorials or polynomials.
Specify the attributes that you want to assign to an effect in a model. See
“Attributes” on page 45.
(Standard Least Squares only) Transforms selected continuous effects or Y
columns. See “Transformations” on page 48.
Only supported for continuous main effects.
Excludes the intercept term from the model.
Personality Specifies a fitting method. See “Fitting Personalities” on page 48.
Emphasis
Method
(Standard Least Squares only) Controls the types of plots and reports that
appear in the initial report window. See “Emphasis Options for Standard
Least Squares” on page 50.
(Standard Least Squares with random effects only) Applies one of the
following methods to the model:
• REML. See “Restricted Maximum Likelihood (REML) Method” on
page 113.
• EMS. Also called the Method of Moments. See “Method of Moments
Results” on page 123.