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On a partial least squares regression model for asymmetric data with a chemical application in mining
Huerta, Mauricio; Leiva, Víctor; Liu, Shuangzhe; Rodríguez-Gallardo, Marcelo; Villegas, Danny (2019)In chemometrical applications, covariates in regression models are often correlated, causing a collinearity problem that can be solved by partial least squares (PLS) regression. In addition, high dimensionality in the space ...