Partial Least Squares Regression Methods with Application of Mas Cement Factory in Sulaymaniyah Governorate

Authors

  • Sherin Youns Mohyaldeen Department of Petroleum geology, Technical College of Petroleum and Minerals Science /zakho, Duhok Polytechnic University, Kurdistan Region – Iraq.
  • Mohammed A. Alhassawy Statistics and Informatics, Dohuk education 'high school of commerce, Kurdistan Region – Iraq.

DOI:

https://doi.org/10.26436/hjuoz.2022.10.2.847

Keywords:

Regression Model, Partial least square method, Multivariate Partial least square Regression, Univariate Partial least square Regression, Components.

Abstract

This paper was dealing with variables for MAS Cement Factory where evince many problems , more than one variable dependent and presence the problem of multicollinearity and so presence the correlation between the predictive variables and the dependent variables and so smallness size the research sample. used the method , Partial Least Squares PLS to Solve the problems above, also considered as one of the methods which dally methodically different in deduction the Components dependent on curing the correlation the presence between the predictive variables and the dependent variables , more over this method is more competence in dealing with the problems above. Through the statistical analysis, the PLS method it has succeeded in establishing the optimal Regression model for all three depended variables for the data of this paper.  

Author Biographies

Sherin Youns Mohyaldeen, Department of Petroleum geology, Technical College of Petroleum and Minerals Science /zakho, Duhok Polytechnic University, Kurdistan Region – Iraq.

Customs Administration

Mohammed A. Alhassawy, Statistics and Informatics, Dohuk education 'high school of commerce, Kurdistan Region – Iraq.

Statistics

References

-Abdi , Herve , (2003), " Partial Least Squares ( PLS ) Regression " , The University of Texas at Dallas , Encyclopedia of Social Sciences Research Methods , E–mail : herve @utdallas . edu , http://www.utdallas . edu/~herve .

-Akdeniz , Fikri , (2000) , " III-Conditioning and Multicollinearity " , Department of Mathematics , Cukurova University , Adana , Turkey , Linear Algebra and its Applications 321 , pp (295-305) , E-mail: akdeniz@mail.cu.edu.tr .

-Bluman , Allan G. , (2009) , " Elementary Statistics (Astep by step Approach) " , Seventh Edition , Published by MC Graw – Hill , Obusiness Unit of The MC Graw – Hill Companies , New York .

-Disatnik , David and Sivan , Liron , (2014) , " The Multicollinearity illusion in Moderated Regression Analysis " , Tel Aviv University , Carnegie Mellon University , USA. , PP ( 1-12 ), E-mail: daviddis@post. Tau. Ac. Il and E-mail: Isivan@andrew. Cmu. Edu.

-Garthwaite , Paul H. , (1994) , " An Interpretation of Partial Least Squares " , Journal of The American Statistical Association , Theory and Method , Vol . 89 , No . 425 , pp ( 122 – 127 ) .

-Geladi , Paul and Kowalski , Brucer , (1986) , " Partial Least Squares Regression : Atutorial " , University of Washington , Seattle , WA 98195 (U . S . A .) , Printed in The Netherlands , pp ( 1 – 17 ) .

-Haenlein , Michael and Kaplan , Andreas M. , (2004) , " Abeginner,s Guide to Partial Least Squares Analysis " , Copyright©Lawrence Erlbaum Associates , Inc. , E-mail:Michael.Haenlein@Bain.com , PP (283-297) .

-Henry , Gary T. , (2013),"Practical Sampling",Chapter Title , Sample Size , Publishing Company , SAGE Publications , Inc. , 14 October , City , Thousandoaks

-Jeeshim and Kucc , (2002) , " Multicollinearity in Regression Models " , No. 625 , pp ( 1-8 ) , http:// php. Indiana. edu /~ kucc 625 .

-Maitra , Saikat and Yan , Jun , (2008) , " Principle Component Analysis and Partial Least Squares : Two Dimension Reduction Techniques for Regression " , Casualty Actuarial Society , pp (79 – 90) .

-Poole , Michael A. and Farrell , Patrick N.O. , (1970) , " The Assumptions of the Linear Regression Model " , Received , 10 July , pp (145-157) .

-Rawlings , John O. , Pantula , Sastry G. and Dickey , David A. , (1998) , " Applied Regression Analysis ", Aresearch Tool , Second Edition , Berlin , New york .

-Rosipal , Roman and Kramer , Nicole , (2006) , " Overview and Recent Advances in Partial Least Squares " , Copyrighted©Springer-Verlag , Berlin , pp (34 – 51) .

-Sakallioglu , S. and Akdeniz , F. , (1998) , " Generalized Inverse Estimator and Comparison with Least Squares Estimator " , Cukurova University , Department of Mathematics , Copyright©Tubitak , 22 , pp (77 – 84) .

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Published

2022-06-30

How to Cite

mohyaldeen, S., & Alhassawy, M. . (2022). Partial Least Squares Regression Methods with Application of Mas Cement Factory in Sulaymaniyah Governorate. Humanities Journal of University of Zakho, 10(2), 453–463. https://doi.org/10.26436/hjuoz.2022.10.2.847

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Section

Humanities Journal of University of Zakho