采用主成分回归（PCR）和偏最小二乘法（PLS）对试验数据进行了多元统计分析。
Then all data were analyzed by principal component regression (PCR) and partial least square (PLS).
采用主成分回归和偏最小二乘法分别对血糖近红外光谱进行分析，建立数学校正模型。
Analyze the near infrared spectrum of the glucose concentration using main component regression and partial least square algorithm, build up the adjusting mathematical model.
并对试验结果运用偏最小二乘法与残差分析进行回归分析。
The test result was analysed with Partial Least Square and Residual analyse.
并对试验结果运用偏最小二乘法与残差分析进行回归分析。
The test result was analysed with Partial Least Square and Residual analyse.
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