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).

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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.

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为了比较算法的性能，作者又分别采用了偏最小二乘法、主成分分析结合BP神经网络进行数据处理。

To compare arithmetic performance, the authors also processed the spectral data with partial least squares and PCA-BP neural network.

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为了比较算法的性能，作者又分别采用了偏最小二乘法、主成分分析结合BP神经网络进行数据处理。

To compare arithmetic performance, the authors also processed the spectral data with partial least squares and PCA-BP neural network.

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