Model Statement Usage

The TRANSREG Procedure

Model Statement Usage

MODEL < transform(dependents < / t-options >)
                     < transform(dependents < / t-options >)...> = >
                     transform(independents < / t-options >)
                     < transform(independents < / t-options >)...> < / a-options > ;

Here are some examples of model statements:

linear regression
```
   model identity(y) = identity(x);
```
a linear model with a nonlinear regression function
```
   model identity(y) = spline(x / nknots=5);
```

multiple regression

   model identity(y) = identity(x1-x5);

multiple regression with nonlinear transformations

   model spline(y / nknots=3) = spline(x1-x5 / nknots=3);

multiple regression with nonlinear but monotone transformations

   model mspline(y / nknots=3) = mspline(x1-x5 / nknots=3);

multivariate multiple regression

   model identity(y1-y4) = identity(x1-x5);

canonical correlation

   model identity(y1-y4) = identity(x1-x5) / method=canals;

redundancy analysis

   model identity(y1-y4) = identity(x1-x5) / method=redundancy;

preference mapping, vector model (Carroll 1972)

   model identity(Attrib1-Attrib3) = identity(Dim1-Dim2);

preference mapping, ideal point model (Carroll 1972)

   model identity(Attrib1-Attrib3) = point(Dim1-Dim2);

preference mapping, ideal point model, elliptical (Carroll 1972)
```
   model identity(Attrib1-Attrib3) = epoint(Dim1-Dim2);
```
preference mapping, ideal point model, quadratic (Carroll 1972)
```
   model identity(Attrib1-Attrib3) = qpoint(Dim1-Dim2);
```

metric conjoint analysis

   model identity(Subj1-Subj50) = class(a b c d e f / zero=sum);

nonmetric conjoint analysis

   model monotone(Subj1-Subj50) = class(a b c d e f / zero=sum);

main effects, two-way interaction
```
   model identity(y) = class(a|b);
```
less-than-full-rank model -main effects and two-way interaction are constrained to sum to zero
```
   model identity(y) = class(a|b / zero=sum);
```
main effects and all two-way interactions
```
   model identity(y) = class(a|b|c@2);
```
main effects and all two- and three-way interactions
```
   model identity(y) = class(a|b|c);
```

main effects and just B*C two-way interaction

   model identity(y) = class(a b c b*c);

seven main effects, three two-way interactions

   model identity(y) = class(a b c d e f g a*b a*c a*d);

deviations-from-means (effects or (1, 0, -1)) coding, with an A reference level of '1' and a B reference level of '2'
```
   model identity(y) = class(a|b / deviations zero='1' '2');
```

cell-means coding (implicit intercept)

   model identity(y) = class(a*b / zero=none);

reference cell model

   model identity(y) = class(a|b / zero='1' '1');

reference line with change in line parameters

   model identity(y) = class(a) | identity(x);

reference curve with change in curve parameters

   model identity(y) = class(a) | spline(x);

separate curves and intercepts

   model identity(y) = class(a / zero=none) | spline(x);

quantitative effects with interaction

   model identity(y) = identity(x1 | x2);

separate quantitative effects with interaction within each cell

   model identity(y) = class(a * b / zero=none) | identity(x1 | x2);

Chapter Contents
Previous
Next
Top