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Comparison between use of the Partial Least Squares Regression (PLSR) and Principal Components Regression (PCR) in the factors influencing cement expansion

Elham Hussein · University of Mosul, College of Education for Pure Science · 2012

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Author / responsible party
Elham Hussein
Publisher
University of Mosul, College of Education for Pure Science
Year
2012
ISSN
1812-125X
ISSN
1812-125X
Language
English
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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 PCR, the plot of the fitted data shows that Partial Least Squares Regression represente the data better than Principal Components Regression, and R2 insures this result which is showen by the figure. After that, 10 variables are used to compare these methods, this comparison indicates that the two methods represente the data in the same way. The goal is inreducing the number of components used in the two methods to avoid Over- Fitting, then it is depended on cross- validation method, this method indicates that Partial Least Squares Regression method is more economic than Principal Components Regression.

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APA 7

Hussein, E. (2012). Comparison between use of the Partial Least Squares Regression (PLSR) and Principal Components Regression (PCR) in the factors influencing cement expansion. https://doi.org/10.33899/edusj.2012.59139

MLA

Hussein, Elham. "Comparison between use of the Partial Least Squares Regression (PLSR) and Principal Components Regression (PCR) in the factors influencing cement expansion." 2012. https://doi.org/10.33899/edusj.2012.59139.

Chicago

Hussein, Elham. 2012. "Comparison between use of the Partial Least Squares Regression (PLSR) and Principal Components Regression (PCR) in the factors influencing cement expansion.". https://doi.org/10.33899/edusj.2012.59139.

Harvard

Hussein, E. 2012, Comparison between use of the Partial Least Squares Regression (PLSR) and Principal Components Regression (PCR) in the factors influencing cement expansion, University of Mosul, College of Education for Pure Science, available at: https://doi.org/10.33899/edusj.2012.59139 [Accessed 8 Aug. 2026].

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Title
Comparison between use of the Partial Least Squares Regression (PLSR) and Principal Components Regression (PCR) in the factors influencing cement expansion
Author / contributors
Elham Hussein
Publisher
University of Mosul, College of Education for Pure Science
Publication year
2012
ISSN
1812-125X
ISSN
1812-125X
Language
English

Subjects

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partial least squares regression (plsr); principal components regression (pcr); cement expansion
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