The valuable influence factors were filtrated and formulated with multivariate regression analysis model.
用多元线性回归模型筛选出对预后有影响的因素，并比较各因素的影响大小。
By using multivariate linear regression analysis, the mathematical model to classify and evaluate reservoir with well logging data was established.
通过多元线性回归分析，建立了用多种测井信息划分、评价储层的数学模型。
The model of post-dynamic recrystallization has been obtained by using multivariate nonlinear regression analysis.
采用多元非线性回归法得到了后动态再结晶模型。
The mathematical model of multivariate curve regression analysis was obtained and the corrective ratio was 100%.
在此基础上，得到了多元曲线回归的预测模型，拟合率为100%。
The mathematical model of multivariate curve regression analysis was obtained and the corrective ratio was 100%.
在此基础上，得到了多元曲线回归的预测模型，拟合率为100%。
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