Package: rlppinv
Type: Package
Title: Linear Programming via Regularized Least Squares
Version: 0.3.0
Authors@R: 
    c(
        person("Ilya", "Bolotov", email = "ilya.bolotov@vse.cz",
               role = c("aut", "cre"),
               comment = c(ORCID = "0000-0003-1148-7144"))
    )
Description: The Linear Programming via Regularized Least Squares (LPPinv) is a
             two-stage estimation method that reformulates linear programs as
             structured least-squares problems. Based on the Convex Least
             Squares Programming (CLSP) framework, LPPinv solves linear
             inequality, equality, and bound constraints by (1) constructing a
             canonical constraint system and computing a pseudoinverse
             projection, followed by (2) a convex-programming correction stage
             to refine the solution under additional regularization (e.g.,
             Lasso, Ridge, or Elastic Net). LPPinv is intended for
             underdetermined and ill-posed linear problems, for which standard
             solvers fail.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.2)
Imports: rclsp (>= 0.5.0)
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
URL: https://github.com/econcz/rlppinv
BugReports: https://github.com/econcz/rlppinv/issues
RoxygenNote: 7.3.3
NeedsCompilation: no
Packaged: 2026-03-09 11:25:37 UTC; ilyabolotov
Author: Ilya Bolotov [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-1148-7144>)
Maintainer: Ilya Bolotov <ilya.bolotov@vse.cz>
Repository: CRAN
Date/Publication: 2026-03-10 12:20:02 UTC
Built: R 4.6.0; ; 2026-04-26 04:41:43 UTC; unix
