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1·Then it builds a model by partial least squares regression on the obtained sample space.

在相对合理的样本空间中采用偏最小二乘回归建立模型。

2·But the partial least squares regression models can be expressed by the original variables.

但是，由于偏最小二乘回归模型最终可以表示为原有所有变量的回归方程。

3·It has been shown that partial least squares regression is a good method that can be adopted.

实践表明，偏最小二乘回归是一种可以采用的方法。

4·The quantitative prediction abilities of Partial Least Squares method in both cases are compared.

比较了偏最小二乘(pls)法在两种情况的定量预测能力。

5·The NIRS calibration models were developed using the partial least squares (PLS) regression technique.

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。

6·Cross validation, feature selection, quasi-random numbers, and partial least squares in Statistics Toolbox.

在统计工具箱中，增加了交叉验证，特征选择，拟随机数和偏最小二乘法。

7·Multiway kernel partial least squares (MKPLS) can be used for modeling and optimal control of batch processes.

采用多向核偏最小二乘(MKPLS)方法建立间歇过程的模型并进行操作条件的优化。

8·A modified fuzzy partial least squares (PLS) model is presented for the characteristics of petrochemical process.

针对石油化工过程的特点，提出一种改进的模糊部分最小二乘的建模算法。

9·In this paper, we discussed some issues of PLSR. First, Partial Least Squares Regres-sion are given theoretical derivation.

本文就围绕偏最小二乘回归法展开讨论，首先，给出偏最小二乘回归法的理论推导。

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

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。