Bartlett, M.S. (1937), “Properties of sufficiency and statistical tests,” Proceedings of the Royal Society of London Series A, 160, 268–282.
Cox, I. and Gaudard, M. (2013), Discovering Partial Least Squares with JMP, Cary NC: SAS Institute Inc.
Dwass, M. (1955), “A Note on Simultaneous Confidence Intervals,” Annals of Mathematical Statistics 26: 146–147.
Eriksson, L., Johansson, E., Kettaneh-Wold, N., Trygg, J., Wikstrom, C., and Wold, S. (2006), Multi- and Megavariate Data Analysis Basic Principles and Applications (Part I), Chapter 4, Umetrics.
Farebrother, R.W. (1981), “Mechanical Representations of the L1 and L2 Estimation Problems,” Statistical Data Analysis, 2nd Edition, Amsterdam, North Holland: edited by Y. Dodge.
Fieller, E.C. (1954), “Some Problems in Interval Estimation,” Journal of the Royal Statistical Society, Series B, 16, 175-185.
Garthwaite, P. (1994), “An Interpretation of Partial Least Squares,” Journal of the American Statistical Association, 89:425, 122-127.
Golub, G.H., Kahan, W. (1965), “Calculating the singular values and pseudo-inverse of a matrix,” Journal of the Society for Industrial and Applied Mathematics: Series B, Numerical Analysis 2:2, 205–224.
Goodnight, J.H. (1978), “Tests of Hypotheses in Fixed Effects Linear Models,” SAS Technical Report R–101, Cary NC: SAS Institute Inc, also in Communications in Statistics (1980), A9 167–180.
Hartigan, J.A. (1981), “Consistence of Single Linkage for High–Density Clusters,” Journal of the American Statistical Association, 76, 388–394.
Hocking, R.R. (1985), The Analysis of Linear Models, Monterey: Brooks–Cole.
Hoskuldsson, A. (1988), “PLS Regression Methods,” Journal of Chemometrics, 2:3, 211-228.
Huber, P.J. (1964), “Robust Estimation of a Location Parameter,” Annals of Mathematical Statistics, 35:1, 73-101.
Huber, P.J. and Ronchetti, E.M. (2009), Robust Statistics, Second Edition, Wiley.
Jackson, J. Edward (2003), A User’s Guide to Principal Components, New Jersey: John Wiley and Sons.
Jardine, N. and Sibson, R. (1971), Mathematical Taxonomy, New York: John Wiley and Sons.
Mason, R.L. and Young, J.C. (2002), Multivariate Statistical Process Control with Industrial Applications, Philadelphia: ASA-SIAM.
McLachlan, G.J. and Krishnan, T. (1997), The EM Algorithm and Extensions, New York: John Wiley and Sons.
Press, W.H, Teukolsky, S.A., Vetterling, W.T., Flannery, B.P. (1998), Numerical Recipes in C: The Art of Scientific Computing, Second Edition, Cambridge, England: Cambridge University Press.
SAS Institute Inc. (2011), SAS/STAT 9.2 User’s Guide, “The VARCLUS Procedure,” Cary, NC: SAS Institute Inc. Retrieved April 15, 2015 from http://support.sas.com/documentation/cdl/en/statug/63962/HTML/default/viewer.htm#varclus_toc.htm.
SAS Institute Inc. (2011), SAS/STAT 9.3 User’s Guide, “The PLS Procedure,” Cary, NC: SAS Institute Inc. Retrieved April 15, 2015 from http://support.sas.com/documentation/cdl/en/statug/63962/HTML/default/viewer.htm#pls_toc.htm.
SAS Institute Inc. (2011), SAS/STAT 9.3 User’s Guide, “The CANDISC Procedure,” Cary, NC: SAS Institute Inc. Retrieved April 15, 2015 from http://support.sas.com/documentation/cdl/en/statug/63962/HTML/default/viewer.htm#candisc_toc.htm.
Tobias, R.D. (1995), “An Introduction to Partial Least Squares Regression,” Proceedings of the Twentieth Annual SAS Users Group International Conference, Cary, NC: SAS Institute Inc.
Umetrics (1995), Multivariate Analysis (3-day course), Winchester, MA.
Wold, (1980), “Soft Modelling: Intermediate between Traditional Model Building and Data Analysis,” Mathematical Statistics (Banach Center Publications, Warsaw), 6, 333-346.
Wold, S. (1994), “PLS for Multivariate Linear Modeling”, QSAR: Chemometric Methods in Molecular Design. Methods and Principles in Medicinal Chemistry.
Wright, S.P. and R.G. O’Brien (1988), “Power Analysis in an Enhanced GLM Procedure: What it Might Look Like,” SUGI 1988, Proceedings of the Thirteenth Annual Conference, 1097–1102, Cary NC: SAS Institute Inc.