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- y ~ A
- observation n of N: y(n) = b_{0} + b_{1}*x_{1}(n) + ... + b_{k-1} *x_{K-1}(n) + error
- Y = X*b ( + error)
- b = (X^T * X)^(-1) * X^T *Y
- Y_mean = C*b
- Y_mean(k) = b_{0} + b_{1}*x_{1}(k) + ... + b_{k-1} *x_{K-1}(k)
- b = C^(-1) * Y_mean = L * Y_mean
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