PLS can be defined as a multivariate linear regression methodology, based on the decomposition of the data, into a set of orthogonal components or latent variables (LVs) (Kourti and MacGregor 1995 ; MacGregor et al. 2005 ; Metsmuuronena et al. 2002 ). PLS is recognized as a robust ...
6.5.1 PLS regression Partial least square (PLS) regression is a statistical exploratory method [DUV 10] which is used to analyze large-scale “individual variable” tables when the variables are quantitative or qualitative. Its objective is to summarize the information contained in the data in ord...
网络偏最小二乘回归模型 网络释义 1. 偏最小二乘回归模型 模糊... ... ) fuzzy least square regression 模糊最小二乘回归 )partial least square regressive method偏最小二乘回归模型... www.dictall.com|基于 1 个网页
The partial least squares regression (PLSR) method is used for establishing the permeability prediction model and the optimal number of latent variables of the model is determined by the leave-one-out cross-validation (LOOCV) method. A comparison of the existing empirical models, the permeability ...
This example shows how to apply partial least squares regression (PLSR) and principal components regression (PCR), and explores the effectiveness of the two methods. PLSR and PCR are both methods to model a response variable when there are a large number of predictor variables, and ...
1.Data Analysis Based on Hierarchical Partial Least-squares Regression;基于递阶偏最小二乘回归的数据分析 2.A Study on China s Non-governmental Investment Based on Partial Least-Square Regression Approach;我国民间投资的偏最小二乘回归研究 3.The Regressive Research of Bias Least Square Method of Public...
1.However, the partial least-squares regression analysis can solve relativity problems among different influence factors.天然气用量与城市国民经济发展情况、产业结构、能源结构、城市规划人口等宏观因素有关,采用传统的回归分析法预测天然气用量会产生较大偏差,而偏最小二乘回归分析法可以解决各影响因素之间的相关性...
The performance of ASPLS compared with other PLS method is illustrated with the fisher economic application especially the tuna fish production.Bilfarsah AhmadUniversitas IndonesiaMakara Seri SainsEfectivity of Additive Spline for Partial Least Square Method in Regression Model Estimation. Ahmad Bilfarsah...
In this paper, partial least square regression is presented to realize the tool wear prediction based on force signal. The main characteristic of this method is that the regression analysis is in the principal component space so that the multicollinearity between explanatory variables can be avoided ...
4) improving partial least square regression method 改进偏最小二乘方法 5) Partial least squares 偏最小二乘法 1. A kind of variable selection method by application of partial least squares; 利用偏最小二乘法的一种变量筛选法 2. The useful near-infrared spectrum information was picked up by usi...