与多重线性回归结果基本一致。
计量资料的关联性用多重线性回归分析。
Multiple linear regression analysis was used to measure the relevance of the information.
结果建立了以人均住院成本为因变量的多重线性回归模型。
Results Multiple linear regression model was established in which the average per capita hospitalization cost was as a dependent variable.
为了确定多重线性回归模型中回归系数矩阵的秩，本文提出了一个基于M估计的模型选择程序，且在较弱的条件下建立了回归系数矩阵的秩的估计的强相合性。
To determine the rank of regression coefficient matrix in a multivariate linear regression model, a model selection procedure is proposed based on the M-estimation.
并以此为基础，衍生出工具变量回归模型，在剔除了解释变量多重共线性的影响后，验证了结果的准确性。
Further, on this basis we derived an instrumental variable regression model. After disregarding the effect of multicollinearity among the explanatory variables, we verify the accuracy of the results.
为此，判断了影响负荷的经济因素之间存在的多重共线性，用偏最小二乘回归方法消除其共线性影响，并建立了预测模型。
The partial least square regressive method (PLS) is applied to build the model estimating the annual load of NSP, whose results are compared with the ones of least square method.
为此，判断了影响负荷的经济因素之间存在的多重共线性，用偏最小二乘回归方法消除其共线性影响，并建立了预测模型。
The partial least square regressive method (PLS) is applied to build the model estimating the annual load of NSP, whose results are compared with the ones of least square method.
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