Partial Least Square Regression PLS-Regression

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A Comparative Study On Some Methods For Handling Multicollinearity Problems (2006, background): “However in contrast, PLS regression searches for a set of components called latent vectors, factors or components from X that are also relevant for Y that performs a simultaneous decomposition of X and Y with the constraint that these components explain as much as possible of the covariance between ”
Detection of biotic stress (Venturia inaequalis) in apple trees using hyperspectral data: Non-parametric statistical approaches and physiological implications (2007, background): “According to Abdi (2007), the goal of PLS is to predict a set of dependent variables from a set of predictor variables.”
Partial Least Squares (PLS) Methods: Origins, Evolution, and Application to Social Sciences (2011, methodology): “The following example (Abdi, 2003) illustrates how this model is used.”
Partial least squares regression as an alternative to current regression methods used in ecology (2009, unknown): “An introduction and a statistical overview of PLSR can be found in Geladi and Kowalski (1986), Frank and Friedman (1993), Wold et al. (2001), Tobias (2003) and Abdi (2007) .”