principal-component regression analysis

基本解釋

Based on the stepwise regression analysis and the principal component analysis, the soft-sensing method is presented to predict the quality of Chinese herb.
基于逐步回歸分析與主成分分析，提出了用于中藥質(zhì)量預(yù)測(cè)的軟測(cè)量方法。
The analysis of the second -derivative difference spectrum data was accomplished with multilinear regression (MLR) and principal component regression (PCR).
用多元線(xiàn)性回歸（MLR）和主成分回歸（PCR）分析了數(shù)據(jù)。
The last chapter, principal component analysis is used to describe the performance, then is the analysis of the trend of the performance and the result of multipie-variable regression.
第四章運(yùn)用主成分分析法評(píng)價(jià)績(jī)效，并對(duì)年度績(jī)效變化趨勢(shì)進(jìn)行分析，最后對(duì)各個(gè)年度的績(jī)效差值模型回歸結(jié)果進(jìn)行分析和解釋。