Notes on the history and nature of partial least squares (PLS) modelling

The growing awareness of the need for non‐deterministic and distribution‐free (soft) models combined with an iterative algorithm for finding latent variables led to the construction of partial least squares models. There have been separate developments in the humanistic and the natural sciences, with stress on different aspects and a different terminology. The historical development is described and some key topics are explained.

[1]  S. Wright The Method of Path Coefficients , 1934 .

[2]  M. Kendall,et al.  A Study in the Analysis of Stationary Time-Series. , 1955 .

[3]  H. Wold A fix-point theorem with econometric background , 1966 .

[4]  O. D. Duncan Path Analysis: Sociological Examples , 1966, American Journal of Sociology.

[5]  N. Draper,et al.  Applied Regression Analysis , 1966 .

[6]  H. Wold Causal flows with latent variables: Partings of the ways in the light of NIPALS modelling , 1974 .

[7]  H. Wold Path Models with Latent Variables: The NIPALS Approach , 1975 .

[8]  Svante Wold,et al.  Pattern recognition by means of disjoint principal components models , 1976, Pattern Recognit..

[9]  H. Wold On the Transition from Pattern Cognition to Model Building , 1977 .

[10]  S. Wold,et al.  SIMCA: A Method for Analyzing Chemical Data in Terms of Similarity and Analogy , 1977 .

[11]  Quantitative Wirtschaftsforschung : Wilhelm Krelle zum 60. Geburtstag , 1977 .

[12]  Baldwin S. Hui,et al.  THE PARTIAL LEAST SQUARES APPROACH TO PATH MODELS OF INDIRECTLY OBSERVED VARIABLES WITH MULTIPLE INDICATORS. , 1978 .

[13]  Bruce R. Kowalski,et al.  Partial least-squares path modelling with latent variables , 1979 .

[14]  Fred L. Bookstein,et al.  Data Analysis by Partial Least Squares , 1980 .

[15]  Herman Wold,et al.  PLS Path Modelling with Latent Variables: Analysing School Survey Data Using Partial Least Squares‐Part II 1,2 , 1980 .

[16]  H. Knepel Modelle mit unbeobachtbaren Variablen —Der PLS-Ansatz , 1981 .

[17]  Herman Wold,et al.  Systems under indirect observation : causality, structure, prediction , 1982 .

[18]  F. Bookstein,et al.  Two Structural Equation Models: LISREL and PLS Applied to Consumer Exit-Voice Theory: , 1982 .

[19]  Harsharanjeet S. Jagpal Multicollinearity in Structural Equation Models with Unobservable Variables , 1982 .

[20]  Svante Wold,et al.  Preference of cauliflower related to sensory descriptive variables by partial least squares (PLS) regression , 1983 .

[21]  Svante Wold,et al.  Partial least-squares method for spectrofluorimetric analysis of mixtures of humic acid and lignin sulfonate , 1983 .

[22]  S. Wold,et al.  The multivariate calibration problem in chemistry solved by the PLS method , 1983 .

[23]  Harald Martens,et al.  A multivariate calibration problem in analytical chemistry solved by partial least-squares models in latent variables , 1983 .

[24]  B. Kowalski,et al.  Partial least squares solutions for multicomponent analysis , 1983 .

[25]  T. Dijkstra Some comments on maximum likelihood and partial least squares methods , 1983 .

[26]  S. Wold,et al.  The Collinearity Problem in Linear Regression. The Partial Least Squares (PLS) Approach to Generalized Inverses , 1984 .

[27]  Bruce R. Kowalski,et al.  Prediction of Product Quality from Spectral Data Using the Partial Least-Squares Method , 1984 .

[28]  G. A. Barnard,et al.  The Making of Statisticians. , 1984 .

[29]  H. Wold,et al.  Recent Developments in Categorical Data Analysis by PLS , 1985 .

[30]  Tormod Næs,et al.  Comparison of prediction methods for multicollinear data , 1985 .

[31]  T. K. Dijkstra Latent variables in linear stochastic models : refletions on "maximum likelihood" and "partial least squares" methods , 1985 .

[32]  R. Manne Analysis of two partial-least-squares algorithms for multivariate calibration , 1987 .

[33]  L. E. Wangen,et al.  A theoretical foundation for the PLS algorithm , 1987 .

[34]  S. Wold,et al.  Multi‐way principal components‐and PLS‐analysis , 1987 .

[35]  N. B. Vogt Soft modelling and chemosystematics , 1987 .

[36]  K. Esbensen,et al.  Predicting oil-well permeability and porosity from wire-line petrophysical logs — a feasibility study using partial least squares regression , 1987 .

[37]  S. Wold,et al.  Partial least squares analysis with cross‐validation for the two‐class problem: A Monte Carlo study , 1987 .

[38]  Terje V. Karstang,et al.  Multivariate calibration of an x-ray diffractometer by partial least squares regression , 1987 .

[39]  I. E. Frank Intermediate least squares regression method , 1987 .