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An Efficient Solution to a Multiple Non-Linear Regression Model with Interaction Effect using TORA and LINDO

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Book cover Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 2012

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 236))

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Abstract

Goal programming (GP) has been proven a valuable mathematical programming form in a number of venues. GP model serves a valuable purpose of cross-checking answers from other methodologies. Different software packages are used to solve these GP models. Likewise, multiple regression models can also be used to more accurately combine multiple criteria measures that can be used in GP model parameters. Those parameters can include the relative weighting and the goal constraint parameters. A comparative study on the solutions using TORA, LINDO, and least square method has been made in this paper. The objective of this paper is to find out a method that gives most accurate result to a nonlinear multiple regression model.

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Author information

Authors and Affiliations

  1. Institute of Engineering and Technology, JK Lakshmipat University, Jaipur, India

    Umesh Gupta

  2. Kautilya Institute of Technology and Engineering, Jaipur, India

    Devender Singh Hada

  3. Jaipur Institute of Technology and Group of Institutions, Jaipur, India

    Ankita Mathur

Authors
  1. Umesh Gupta
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  2. Devender Singh Hada
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  3. Ankita Mathur
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Corresponding author

Correspondence to Umesh Gupta .

Editor information

Editors and Affiliations

  1. Institute of Engineering and Technology, JK Lakshmipat University, Jaipur, Rajasthan, India

    B. V. Babu

  2. Department of Computer Science, Liverpool Hope University, Liverpool, United Kingdom

    Atulya Nagar

  3. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Kusum Deep

  4. Department of Paper Technology, Indian Institute of Technology Roorkee, Roorkee, India

    Millie Pant

  5. Department of Applied Mathematics, South Asian University, New Delhi, India

    Jagdish Chand Bansal

  6. Institute of Engineering and Technology, JK Lakshmipat University, Jaipur, Rajasthan, India

    Kanad Ray

  7. Institute of Engineering and Technology, JK Lakshmipat University, Jaipur, Rajasthan, India

    Umesh Gupta

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Gupta, U., Hada, D.S., Mathur, A. (2014). An Efficient Solution to a Multiple Non-Linear Regression Model with Interaction Effect using TORA and LINDO. In: Babu, B., et al. Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 2012. Advances in Intelligent Systems and Computing, vol 236. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1602-5_38

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  • DOI: https://doi.org/10.1007/978-81-322-1602-5_38

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1601-8

  • Online ISBN: 978-81-322-1602-5

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