Comparison between use of the Partial Least Squares Regression (PLSR) and Principal Components Regression (PCR) in the factors influencing cement expansion
Abstract<br /> In this research, Two methods are used: Partial Least Squares Regression (PLSR) and Principal Components Regression (PCR) to build a model for autoclave cement on factors influnce on it. The comparison between these two methods is done by using two components for the PLSR and PC...
Main Author: | Elham Hussein |
---|---|
Format: | Article |
Language: | Arabic |
Published: |
College of Education for Pure Sciences
2012-06-01
|
Series: | مجلة التربية والعلم |
Subjects: | |
Online Access: | https://edusj.mosuljournals.com/article_59139_30c7be72265eecf3d4870b4f7d7bdc81.pdf |
Similar Items
-
The pls Package: Principal Component and Partial Least Squares Regression in R
by: Bjørn-Helge Mevik
Published: (2007-01-01) -
Comparison of Least Squares, Ridge Regression and Principal Component Approaches in the Presence of Multicollinearity in Regression Analysis
by: Soner Çankaya, et al.
Published: (2019-08-01) -
Potential of interval partial least square regression in estimating leaf area index
by: Zolo Kiala, et al.
Published: (2017-09-01) -
Application of Partial Least Squares Regression to Static Magnetic Grid Displacement Sensor
by: QIAO Shuang
Published: (2013-05-01) -
The Comparison of Robust Partial Least Squares Regression Methods (RSIMPLS, PRM) with Robust Principal Component Regression for Predicting Tourist Arrivals to Turkey
by: Esra POLAT
Published: (2019-01-01)