Discriminant functions are:

a. Linear combinations of the original (predictor) variables that maximize the between-to-within association, as measured by the sum-of-squares and cross-products (SSCP) matrices

b. Uncorrelated linear combinations of the original (predictor) variables that maximize the between-to-within association, as measured by the sum-of-squares and cross-products (SSCP) matrices

c. Correlated linear combinations of the original (predictor) variables that maximize the between-to-within association, as measured by the sum-of-squares and cross-products (SSCP) matrices

d. Uncorrelated linear combinations of the original dependent variables that maximize the between-to-within association, as measured by the sum-of-squares and cross-products (SSCP) matrices