24918 Herve' Abdi: Partial least squares (PLS) regression. Internet ca. 2004, 7p.

24908 Aylin Alin/.../Murat Özgören: Partial least squares analysis in electrical
brain activity. J. Data Science 7 (2009), 99-110.

25046 Antonio Barros/Rui Pinto/Ivonne Delgadillo/Douglas Rutledge:
Segmented principal component transform-partial least squares regression.
Chemometr. Intell. Lab. Syst. 89 (2007), 59-68.

25035 Antonio Barros/Douglas Rutledge: Principal components transform- partial
least squares - a novel method to accelerate cross-validation in PLS regression.
Chemometr. Intell. Lab. Syst. 73 (2004), 245-255.

25023 Philippe Bastien: PLS-Cox model - application to gene expression.
Internet 2004, 8p.

25036 Philippe Bastien/Vincenzo Esposito Vinzi/Michel Tenenhaus: PLS generalised
linear regression. Comp. Stat. Data Analysis 48 (2005), 17-46.

24915 Frederic Bertrand/Nicolas Meyer/Myriam Maumy: Package plsrglm.
Internet 2014, 160p.

25062 Anne-Laure Boulesteix: PLS dimension reduction for classification with
microarray data. Stat. Appl. Gen. Mol. Biol. 3/1 (2004), 32p.

25059 Anne-Laure Boulesteix/Christine Porzelius/Martin Daumer: Microarray-based
prediction with emphasis on clinical parameters - a PLS approach.
Internet (talk) 2007, 27p.

25063 Anne-Laure Boulesteix/Korbinian Strimmer: Partial least squares - a versatile
tool for the analysis of high-dimensional genomica data.
Brief. Bioinformatics 8/1 (2006), 32-44.

25037  Richard Brereton: Introduction to multivariate calibration in analytical
chemistry. Analyst 125 (2000), 2125-2154.

24917 Ian Cox/Marie Gaudard: Discovering partial least squares with JMP.
SAS Inst. 2013, 310. Eur 23 (Ebook).

25052 David Di Ruscio: A weighted view on the partial least-squares algorithm.
Automatica 36 (2000), 831-850.

24921 Pierre Druilhet/Alain Mom: PLS regression - a directional signal-to-noise
ratio approach. J. Multivar. Analysis 97 (2006), 1313-1329.

24924 Lars Elden: Partial least-squares vs. Lanczos bidiagonalization I -
analysis of a projection method for multiple regression.
Comp. Stat. Data Analysis 46 (2004), 11-31.

24923 Rolf Ergon: Reduced PCR/PLSR models by subspace projections.
Chemometrics Intell. Lab. Syst. 81 (2006), 68-73.

24922 Rolf Ergon: Dynamic system multivariate calibration.
Chemometrics Intell. Lab. Syst. 44 (1998), 135-146.

25053 Rolf Ergon/Maths Halstensen/Kim Esbensen: Model choice and squared
prediction errors in PLS regression. J. Chemometrics 25 (2011), 301-312.

25030 Klaas Faber/Rasmus Bro: Standard error of prediction for multiway PLS 1.
Background and a simulation study. Chemometrics Intell. Lab. Syst. 61 (2002), 133-149.

25022 Klaas Faber/Bruce Kowalski: Prediction error in least squares regression -
further critique on the deviation used in The Unscrambler.
Chemometr. Intell. Lab. Syst. 34/2 (1996), 283-292.

25032 Klaas Faber/X. Song/P. Hopke: Sample-specific standard error of prediction
for partial least squares regression. Trends Anal. Chem. 22/5 (2003), 330-334.

25027 Ildiko Frank/Jerome Friedman: A statistical view of some chemometric regression tools.
Technometrics 35/2 (1993), 109-135.

25019 Heide Garcia/Peter Filzmoser: Multivariate statistical analysis using the R
package chemometrics. Internet 2011, 71p.

24926 Paul Garthwaite: An interpretation of partial least squares.
J. Am. Stat. Ass. 89/425 (1994), 122-127.

25039 Jose' Godoy/Jorge Vega/Jacinto Marchetti: Relationships between PCA
and PLS regression. Chemometr. Intell. Lab. Syst. 130 (2014), 182-191.

24906 David Haaland/Edward Thomas: Partial least-squares methods for
spectral analyses 1. Relation to other quantitative calibration methods and the
extraction of qualitative information. Anal. Chem. 60 (1988), 1193-1202.

24907 Michael Haenlein/Andreas Kaplan: A beginner's guide to partial least
squares analysis. Understanding Statistics 3/4 (2004), 283-297.

25029 Per Anker Hassel: Nonlinear partial least squares.
Ph.D. thesis Univ. Newcastle upon Tyne 2003, 188p.

24928 Inge Helland: Partial least squares regression and statistical models.
Scand. J. Stat. 17/2 (1990), 97-114.

25040 Martin Hoy/Kay Steen/Harald Martens: Review of partial least squares
regression prediction error in Unscrambler.
Chemometr. Intell. Lab. Syst. 44 (1998), 123-133.

25054 Ulf Indahl: The geometry of PLS1 explained properly - 10 key notes on
mathematical properties and some alternative algorithmic approaches to PLS1 modelling.
 J. Chemometrics 28 (2014), 168-180.

25060 Daniel Johansson/Petter Lindgren/Anders Berglund: A multivariate approach
applied to microarray data for identification of genes with cell cycle-coupled transcription.
Bioinformatics 19/4 (2003), 467-473.

24978 Waltraud Kessler: Multivariate Datenanalyse. Wiley-VCH 2007, 340p. Eur 112 (Ebook).

25041 Nouna Kettaneh/Anders Berglund, Svante Wold: PCA and PLS with
very large data sets. Comp. Stat. Data Analysis 48 (2005), 69-85.

25047 Gang Li/S. Joe Qin/Donghua Zhou: Geometric properties of partial least squares
for process monitoring. Automatica 46 (2010), 204-210.

24925 Ying Li: A comparison study of principle component regression, partial
least squares regression and ridge regression with application to FTIR data.
Master thesis Uppsala Univ. 2010, 22p.

24909 Saikat Maitra/Jun Yan: Principal component analysis and partial
least squares - two dimension reduction techniques for regression.
Internet 2008, 12p.

25058 Rolf Manne/Randy Pell/Scott Ramos: The PLS model space - the inconsistency
persists. J. Chemometrics 23 (2009), 76-77.

24910 George Marcoulides/Wynne Chin/Carol Saunders: A critical look at
partial least squares modeling. MIS Quarterly 33/1 (2009), 171-175.

25043 Harald Martens: Reliable and relevant modelling of real world data - a personal
account of the development of PLS regression.
Chemometr. Intell. Lab. Syst. 58 (2005), 85-95.

25042 Harald Martens/.../Magni Martens: Regression of a data matrix on descriptors
of both its rows and of its columns via latent variables - L-PLSR.
Comp. Stat. Data Analysis 48 (2005), 103-123.

25031 Gregoria Mateos-Aparicio Morales: Partial least squares (PLS) methods - origins,
evolution, and application to social sciences. Internet ca. 2008, 18p.

25044 Bjoern-Helge Mevik/Ron Wehrens: The pls package - principal component
and partial least squares regression in R.  J. Stat. Software 18/2 (2007), 24p.

25045 Tormod Naes/Tomas Isaksson/Tom Fearn/Tony Davies: A user-friendly
guide to multivariate calibration and classification. NIR Publ. 2004, 350p.

25061 Danh Nguyen/David Rocke: Tumor classification by partial least squares using
microarray gene expression data. Bioinformatics 18/1 (2002), 39-50.

24911 Christian Nitzl: Eine anwenderorientierte Einführung in die
Partial-Least-Squares-Methode (PLS).
Univ. Hamburg, Inst. Ind. Management 2010, 72p.

25057  Randy Pell/Scott Ramos/Rolf Manne: The model space in partial least
squares regression. J. Chemometrics 21 (2007), 165-172.

25055 Aloke Phatak/Sijmen De Jong: The geometry of partial least squares.
J. Chemometrics 11 (1997), 311-338.

25048 Tarja Rajalahti/Olav Kvalheim: Multivariate data analysis in pharmaceutics -
a tutorial review. Int. J. Pharmaceutics 417 (2011), 280-290.

24930 Roman Rosipal/Nicole Krämer: Overview and recent advances in partial
least squares. Springer LN CS 3940 (2006), 34-51.

24914 Gaston Sanchez: PLS path modeling with R. Trowchez 2013, 230p.

21741 Rainer Schlittgen: Multivariate Statistik.
Oldenbourg 2009, 560p. Eur 49. [PLS on pages 183-191.]

25051 M. Stone/R. Brooks: Continuum regression. J. Roy. Stat. Soc. B 52 (1990), 237-269.

24954 Michel Tenenhaus: La regression PLS. Technip 1998, 250p. Eur 54.

24913 Randall Tobias: An introduction to partial least squares regression.
Internet ca. 1996, 8p.

24987 Yukio Tominaga: Comparative study of class data analysis with PCA-LDA, SIMCA,
PLS, ANNs, and k-NN. Chemometr. Intell. Lab. Syst. 49 (99), 105-115.

25016 S. de Vries/Cajo ter Braak: Prediction error in partial least squares regression -
a critique on the deviation used in The Unscrambler.
Chemometrics Intell. Lab. Syst. 30 (1995), 239-245.

24919 Herman Wold: Soft modelling - intermediate between traditional model
building and data analysis. Math. Stat. Banach Center 6 (1980), 333-340.

24920 Herman Wold: Model construction and evaluation when theoretical
knowledge is scare. Theory and application of partial least squares.
In J. Kmenta/J. Ramsey (ed.): Evaluation of econometric models.
Academic Press 1980, 47-74.

25050 Svante Wold: Personal memories of the early PLS development.
Chemometr. Intell. Lab. Syst. 58 (2001), 83-84.

24904 Svante Wold/Michael Sjöström/Lennart Eriksson: PLS regression -
a basic tool of chemometrics. Chemometr. Intell. Lab. Syst. 58 (2001), 109-130.

25049 Svante Wold/Johan Trygg/Anders Berglund/Henrik Antti: Some recent
developments in PLS modeling. Chemometr. Intell. Lab. Syst. 58 (2001), 131-150.

25033 Lin Zhang/Salvador Garcia-Munoz: A comparison of different methods to
estimate prediction uncertainty using partial least squares (PLS) - a practitioner's
perspective. Chemometrics Intell. Lab. Syst. 97 (2009), 152-158.

24912 ZZ: Hauptkomponentenanalyse und PLS. Internet, 5p.