𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Comparison of partial least squares regression and principal component regression for pelvic shape prediction

✍ Scribed by Schumann, Steffen; Nolte, Lutz-P.; Zheng, Guoyan


Book ID
118470871
Publisher
Elsevier Science
Year
2013
Tongue
English
Weight
173 KB
Volume
46
Category
Article
ISSN
0021-9290

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Stacked partial least squares regression
✍ Wangdong Ni; Steven D. Brown; Ruilin Man πŸ“‚ Article πŸ“… 2009 πŸ› John Wiley and Sons 🌐 English βš– 594 KB

## Abstract Two novel algorithms which employ the idea of stacked generalization or stacked regression, stacked partial least squares (SPLS) and stacked moving‐window partial least squares (SMWPLS) are reported in the present paper. The new algorithms establish parallel, conventional PLS models bas