Compute Least Squares Estimates of One Bounded or Two Ordered Isotonic Regression Curves R package OrdMonReg version 1.0.4 We consider the problem of estimating two isotonic regression curves g1* and g2* under the constraint that they are ordered, i.e. g1* <= g2*. Given two sets of n data points y_1, ..., y_n and z_1, ..., z_n that are observed at (the same) deterministic design points x_1, ..., x_n, the estimates are obtained by minimizing the Least Squares criterion L(a, b) = sum_{i=1}^n (y_i - a_i)^2 w1(x_i) + sum_{i=1}^n (z_i - b_i)^2 w2(x_i) over the class of pairs of vectors (a, b) such that a and b are isotonic and a_i <= b_i for all i = 1, ..., n. We offer two different approaches to compute the estimates: a projected subgradient algorithm where the projection is calculated using a PAVA as well as Dykstra's cyclical projection algorithm. Software Depends: R (>= 2.10) Kaspar Rufibach <kaspar.rufibach@gmail.com> Comprehensive R Archive Network (CRAN) Fadoua Balabdaoui [aut], Kaspar Rufibach [aut, cre], Filippo Santambrogio [aut] GPL (>= 2) 2026-04-29 application/tgz https://CRAN.R-project.org/package=OrdMonReg doi:10.32614/CRAN.package.OrdMonReg