Partial Least Squares Path Modelling with Latent Variables

机译：具有潜变量的偏最小二乘路径建模

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A partial least squares treatment of multivariate data related through a complex model allows one to evaluate the interactions between large numbers of features at once. As an example, for a model of water sources flowing together, each block composed of water quality data allows the influence of the various sources to be evaluated with respect to their importance on the resulting flow downstream.

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作者
Gerlach, R. W.; Kowalski, B. R.; Wold, H. O. A.;
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年度 1979
页码 p.1-16
总页数 16
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Mathematical models; Water quality; Water flow; Downstream flow; Least squares method; Sources; Interactions;

机译：数学模型;水质;水流量;下游流量;最小二乘法;来源;相互作用;

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Partial Least Squares Path Modelling with Latent Variables

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