在处理多元数据集时，偏最小二乘法回归（PLS）面临非线性关系和异常值的挑战。研究人员提出 Locally-Weighted-RoBoost-PLS（LW-RoBoost-PLS）方法。该方法结合局部和稳健建模策略，在模拟和真实工业数据测试中表现出色，有效提高预测准确性、降低偏差。 在科学研究 ...

The calibration method PLS1 is described in terms of the joint covariance structure of the explanatory variables and the predicted variable. In the population version it is possible to give simple ...

None of the regression methods implemented in the PLS procedure fit the observed data any better than ordinary least squares (OLS) regression; in fact, all of the methods approach OLS as more factors ...