PLS regression algorithms in the presence of nonlinearity

Comparison of Chemometric Problems in Food Analysis using Non-Linear Methods

(2020) Werickson Fortunato de Carvalho Rocha et al.   MOLECULES

Sensitivity for Multivariate Calibration Based on Multilayer Perceptron Artificial Neural Networks

(2020) Fabricio A. Chiappini et al.   ANALYTICAL CHEMISTRY

Sufficient dimension reduction and prediction in regression: Asymptotic results

(2019) Liliana Forzani et al.   JOURNAL OF MULTIVARIATE ANALYSIS

Partial least squares prediction in high-dimensional regression

(2019) R. Dennis Cook et al.   ANNALS OF STATISTICS

Modelling of bioprocess non-linear fluorescence data for at-line prediction of etanercept based on artificial neural networks optimized by response surface methodology

(2019) Fabricio A. Chiappini et al.   TALANTA

A novel robust NL-PLS regression methodology

(2018) Francis B. Lavoie et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Partial least squares–slice transform hybrid model for nonlinear calibration

(2014) Peng Shan et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Non-linear calibration models for near infrared spectroscopy

(2013) Wangdong Ni et al.   ANALYTICA CHIMICA ACTA

Envelopes and partial least squares regression

(2013) R. D. Cook et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

A comparison of nine PLS1 algorithms

(2009) Martin Andersson   JOURNAL OF CHEMOMETRICS

Sufficient dimension reduction and prediction in regression

(2009) K. P. Adragni et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Principal Fitted Components for Dimension Reduction in Regression

(2009) R. Dennis Cook et al.   STATISTICAL SCIENCE