๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Selecting Factors for Partial Least Squares

โœ Scribed by Nickey J. Messick; John H. Kalivas; Patrick M. Lang


Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
99 KB
Volume
55
Category
Article
ISSN
0026-265X

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Partial least squares for discrimination
โœ Matthew Barker; William Rayens ๐Ÿ“‚ Article ๐Ÿ“… 2003 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 154 KB
Prediction intervals in partial least sq
โœ Michael C. Denham ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 266 KB

The need for calibration typically arises when an 'expensive' but accurate measurement method is replaced by a 'cheap' but generally less accurate method. As an example we may be interested in the amount of a particular chemical present in a mixture. Here traditional 'wet' chemistry techniques can l

The geometry of partial least squares
โœ Aloke Phatak; Sijmen De Jong ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 437 KB

Our objective in this article is to clarify partial least squares (PLS) regression by illustrating the geometry of NIPALS and SIMPLS, two algorithms for carrying out PLS, in both object and variable space. We introduce the notion of the tangent rotation of a vector on an ellipsoid and show how it is

On robust partial least squares (PLS) me
โœ Juan A. Gil; Rosario Romera ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 119 KB ๐Ÿ‘ 1 views

PLS regression methods have been used in applied fields for two decades. Techniques based on iteratively reweighted regression have appeared in the specialized literature with the contaminated data case. We propose a new robust PLS technique based on statistical procedures for covariance matrix robu