Tabular Matrix Problems via Pseudoinverse Estimation R package rtmpinv version 2.0.0 The Tabular Matrix Problems via Pseudoinverse Estimation (TMPinv) is a two-stage estimation method that reformulates structured table-based systems - such as allocation problems, transaction matrices, and input-output tables - as structured least-squares problems. Based on the Convex Least Squares Programming (CLSP) framework, TMPinv solves systems with row and column constraints, block structure, and optionally reduced dimensionality by (1) constructing a canonical constraint form and applying a pseudoinverse-based projection, followed by (2) a convex-programming refinement stage to improve fit, coherence, and regularization (e.g., via Lasso, Ridge, or Elastic Net). Software Depends: R (>= 4.3) Imports: rclsp (>= 2.0.0) Suggests: testthat (>= 3.0.0) Ilya Bolotov <ilya.bolotov@vse.cz> Comprehensive R Archive Network (CRAN) Ilya Bolotov [aut, cre] (ORCID: <https://orcid.org/0000-0003-1148-7144>) MIT + file LICENSE (https://CRAN.R-project.org/package=rtmpinv/LICENSE) 2026-06-11 application/tgz https://CRAN.R-project.org/package=rtmpinv doi:10.32614/CRAN.package.rtmpinv en-US