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license: MIT
title: 'rQSAR: QSAR Modeling with Multiple Algorithms: MLR, PLS, and Random Forest'
version: 1.0.0
doi: 10.32614/CRAN.package.rQSAR
abstract: Quantitative Structure-Activity Relationship (QSAR) modeling is a valuable
  tool in computational chemistry and drug design, where it aims to predict the activity
  or property of chemical compounds based on their molecular structure. In this vignette,
  we present the 'rQSAR' package, which provides functions for variable selection
  and QSAR modeling using Multiple Linear Regression (MLR), Partial Least Squares
  (PLS), and Random Forest algorithms.
authors:
- family-names: George
  given-names: Oche Ambrose
  email: ocheab1@gmail.com
  orcid: https://orcid.org/0000-0002-3979-6232
repository: https://CRAN.R-project.org/package=rQSAR
date-released: '2024-04-02'
contact:
- family-names: George
  given-names: Oche Ambrose
  email: ocheab1@gmail.com
  orcid: https://orcid.org/0000-0002-3979-6232