1) Parfial regression analysis
偏回归分析
2) partial least-squares regression
偏最小二乘回归分析
1.
Residential electricity consumption load forecasting based on dynamic clustering and partial least-squares regression;
基于动态聚类与偏最小二乘回归分析的居民用电负荷预测
3) PLSR
偏最小二乘回归分析
1.
Rela- tionships between odor,flavor attributes and free amino acids,fatty acids composition of middle-temperature fermented yogurts were determined by principal components analysis (PCA) and partial least-squares regres- sive analysis (PLSR).
采用偏最小二乘回归分析法(PLSR)研究了感官结果和仪器测定结果的相关性。
2.
Multi-linear regression(MLR)and partial least square regression(PLSR)were used in modeling using the best wavelengths.
利用最佳波长处的光谱反射率与多种建模方法如多元回归分析MLR(Multilinear Regression)、偏最小二乘回归分析PLSR(Partial LeastSquare Regression)建立了预测叶片叶绿素含量的模型,建模相关系数很相近,均大于0。
4) partial least squares regression analysis
偏最小二乘回归分析
1.
Aiming at medium- and long-term load forecasting, the principle of partial least squares regression analysis is presented and the simplified modeling procedures of this algorithm is derived in detail.
针对中长期电力负荷预测,介绍偏最小二乘回归分析方法的原理,推导该算法的简化建模步骤。
5) partial least-squares regression analysis
偏最小二乘回归分析法
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问题。
6) regressive analysis
回归分析
1.
The best regressive analysis and application in engineering;
最佳回归分析法在工程中的应用
2.
Partial least-squares regressive analysis and model of coefficient of collapsibility of loess;
黄土湿陷系数的偏最小二乘回归分析与模型
3.
The application of regressive analysis in line-loss calculation;
回归分析法在线损计算中的应用
补充资料：多元回归分析
多元回归分析
multiple regression analysis
用多元线性方程来描述和分析多个变量之间关系的统计分析方法。线性方程系数正、负表示正、负相关；系数权重比较表示这些变量在相关关系中贡献大小。但预报仅为大致的估计值。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条