Example 1

In the following example, there are two classification variables, A and B , with two and three values, respectively. Regressors for a one-way model (the default model order) are generated using the the default dummy method. The five regressors generated are A_1, A_2, B_1, B_2 and B_3. 
import com.imsl.stat.*;
import com.imsl.math.PrintMatrix;


public class RegressorsForGLMEx1 {
    public static void main(String args[]) {
        double x[][] = {
            {10.0,  5.0},
            {20.0, 15.0},
            {20.0, 10.0},
            {10.0, 10.0},
            {10.0, 15.0},
            {20.0,  5.0}
        };

        RegressorsForGLM r = new RegressorsForGLM(x, 2);
        double regressors[][] = r.getRegressors();
        int n = r.getNumberOfRegressors();
        System.out.println("Number of regressors = "+n);
        new PrintMatrix("Regressors").print(regressors);
    }
}

Output

Number of regressors = 5
    Regressors
   0  1  2  3  4  
0  1  0  1  0  0  
1  0  1  0  0  1  
2  0  1  0  1  0  
3  1  0  0  1  0  
4  1  0  0  0  1  
5  0  1  1  0  0
Link to Java source.