Ridge regression objective can be formulated as minimizing SSR subject to which constraint?

• A. Minimizes SSR subject to the sum of squares of coefficients being at most a value.
• B. Minimizes SSR subject to the sum of absolute values of coefficients being at most a value.
• C. Minimizes SSR with no penalty.
• D. Maximizes SSR with an L2 penalty.

Answer: (A)