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Sparse Partial Least Squares Regression for On-Line Variable Selection
with Multivariate Data Streams
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应用c开发实现多元线性回归的模型建立，矩阵多元线性方程的模型-The application c development of multiple linear regression model, the matrix multivariate linear equation model
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偏最小二乘回归方法主要的研究焦点是多因变量对多自变量的回归建模，它与普通多元回归方法在思路上的主要区别是它在回归建模过程中采用了信息综合与筛选技术。-Partial least-squares regression method is the main research focus is more dependent variable regression modeling of multiple variables, it has to do with the primary differen
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多元线性及非线性回归参数拟合实例,Examples of multivariate linear and nonlinear regression-Examples of multivariate linear and nonlinear regression
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利用最小二乘法进行拟合多元非线性方程，三相光伏逆变并网的仿真，最小二乘回归分析算法。- Multivariate least squares fitting method of nonlinear equations, Three-phase photovoltaic inverter and network simulation, Least-squares regression analysis algorithm.
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