对样品进行主成分回归分析，所得结果与参考值基本一致。

The principal component regression of samples was made. The obtained results were identical with the reference analytical values.

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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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