O2‐PLS, a two‐block (X–Y) latent variable regression (LVR) method with an integral OSC filter

332 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Some theoretical properties of the O‐PLS method (2004, methodology): “Since then, numerous algorithms have been developed, as reviewed in References [5–12].”
Multivariate Analysis in Metabolomics. (2012, background): “Structured noise (baseline issues, contaminants) negatively affects the correspondence between scores and loadings and hinders the correct interpretation of PLS results [87].”
Prediction and spectral profile estimation in multivariate calibration (2004, methodology): “Y¼ f(X), and includes methods such as PLS [6] and the recently published O-PLS [7] and O2-PLS [8] methods.”
Numerical construction of Green's functions in high dimensional elliptic problems with variable coefficients and analysis of renewable energy data via sparse and separable approximations (2012, methodology): “For reference, we summarize the steps of O-PLS following Trygg and Wold.”