Compared to the ordinary least squares estimator, the simple ridge estimator has an extra term in the denominator:

where is the regressand or response vector, is the design matrix, is the identity matrix, and the ridge (or Tikhonov) regularization parameter serves as the constant shifting the diagonals of the moment matrix. It can be shown that this estimator is the solution to the least squares