applied linear regression models 应用线性回归模型
Non-linear regression models 非线性回归预测模型
log-linear regression models 对数线性回归模型
partly linear regression models 部分线性回归模型
multiple-linear regression models 多元线性回归模型
multiple linear regression models 多元线性回归模型
partially linear regression models 部分线性回归模型
multivariate linear regression models 多元线性回归模型
multiple linear regression models set 多元线性回归模型集合
One of r's strengths is its ability to calculate linear, as well as nonlinear regression models.
计算线性与非线性回归模型的能力是R的强大功能之一。
In this paper a "compact least square method" is presented to overcome the ill-conditioned coefficient matrices in the linear regression models.
本文提出一种克服线性回归模型系数矩阵病态的“紧致最小二乘估计”。
The recognition problem is taken as one of classifying among multiple linear regression models, and sparse signal representation is used to solve this problem.
将识别问题看作是多个线性回归模型中的分类问题，并用稀疏表示理论解决这些问题。
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