采用偏最小二乘法(PLS)建立定标模型，并对原始光谱进行预处理。
The NIRS calibration models were developed using the partial least squares (PLS) regression technique.
方法采用偏最小二乘法(PLS)对校正集进行校正，并对预测集中的样本进行预测。
Methods Partial least square (PLS) method was used to train the training sets and predict the predictive sets.
采用偏最小二乘法(PLS)等方法建立了食用调和油中花生油含量定量分析的近红外光谱定标模型。
Calibration models of quantitative analysis of the content of peanut oil in blended edible oil were built using partial-least-square (PLS) regression and other methods.
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