private static MultinomialLogisticRegression createExample1()
{
MultinomialLogisticRegression mlr = new MultinomialLogisticRegression(2, 3);
// brand 2
mlr.Coefficients[0][0] = -11.774655; // intercept
mlr.Coefficients[0][1] = 0.523814; // female
mlr.Coefficients[0][2] = 0.368206; // age
// brand 3
mlr.Coefficients[1][0] = -22.721396; // intercept
mlr.Coefficients[1][1] = 0.465941; // female
mlr.Coefficients[1][2] = 0.685908; // age
mlr.StandardErrors[0][0] = 1.774612;
mlr.StandardErrors[0][1] = 0.194247;
mlr.StandardErrors[0][2] = 0.055003;
mlr.StandardErrors[1][0] = 2.058028;
mlr.StandardErrors[1][1] = 0.226090;
mlr.StandardErrors[1][2] = 0.062627;
return mlr;
}