In 2 dimensions, let \ mathbf X = \ mathbf X _ 2 \ otimes \ mathbf X _ 1, then the linear predictor is written \ mathbf X _ 1 \ boldsymbol \ Theta \ mathbf X _ 2'where \ boldsymbol \ Theta is the matrix of coefficients; the weighted inner product is obtained from G ( \ mathbf X _ 1 )'\ mathbf W G ( \ mathbf X _ 2 ) and \ mathbf W is the matrix of weights; here G ( \ mathbf M ) is the row tensor function of the r \ times c matrix \ mathbf M given by
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