用实验方法确定经验公式时，回归方程中用最小二乘方法求得的待估参数的估计值往往是一个很长的数。
When determining empirical formula with test method, estimation value of estimated parameter in regression equation which is obtained with least square method always is a long number.
如果其呈现线性关系，测试结果应该通过适当的统计学方法(例如，以最小二乘方来计算回归线)来确立。
If there appears to be a linear relationship test results should be established by appropriate statistical methods (e. g. by calculation of a regression line by the method of least squares).
在多元回归中，主要介绍偏最小二乘方法。
At multiple regression, we mainly introduce the method of partial least-squares.
主元回归和部分最小二乘方法能克服批次内不同阶段的控制量存在的相关关系从而得到更准确的模型。
The regression analyses to correlate the control actions with the results for various stages of a batch to obtain more accurate models.
主元回归和部分最小二乘方法能克服批次内不同阶段的控制量存在的相关关系从而得到更准确的模型。
The regression analyses to correlate the control actions with the results for various stages of a batch to obtain more accurate models.
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