讨论用QR分解拟合回归方程时，参数估计和剩余的迭代加细算法。
Algorithms for iteratively refining the parameter estimates and residuals from the fitting of a regression model using QR decomposition are described.
证明了：若用QR分解所作的算法无需计算平方根，则相应的迭代加细算法也无需计算平方根。
It is shown that, if algorithms for performing the QR decomposition are free from calculation of square root, the related iterative refinement algorithms can also be square root free.
结合分解-迭代求解思想，设计以SA为主算法的求解算法。
According to the idea of the decoupled-iteration, the SA-based algorithm of the above model is presented.
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