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 ...

Partial least squares (PLS) is a prominent solution for dimension reduction and high-dimensional regressions. Recent prevalence of multidimensional tensor data has led to several tensor versions of ...

The derivation of statistical properties for partial least squares regression can be a challenging task. The reason is that the construction of latent components from the predictor variables also ...