Package: XLS
Imports: mpoly
Title: A Modeling Approach that Optimizes Future Errors in Least
        Squares
Version: 0.1.0
Authors@R: 
    c(person("Samet", "Sokel", , "a_s@eskisehir.edu.tr", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-4429-5125")),
      person("Yavuz", "Acar", , "yavuz.acar@boun.edu.tr", role = c("aut","rev")))
Maintainer: Samet Sokel <a_s@eskisehir.edu.tr>
Description: Given the date column as an ascending entry, future errors
        are included in the sum of squares of error that should be
        minimized based on the number of steps and weights you
        determine. Thus, it is prevented that the variables affect each
        other's coefficients unrealistically.
License: GPL (>= 3)
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.1.2
Suggests: rmarkdown, knitr
BugReports: https://github.com/sametsoekel/eXtreme-Least-Squares/issues
Config/pak/sysreqs: libgmp3-dev libicu-dev
Repository: https://sametsoekel.r-universe.dev
Date/Publication: 2022-03-26 12:43:38 UTC
RemoteUrl: https://github.com/sametsoekel/extreme-least-squares
RemoteRef: HEAD
RemoteSha: 43d10dc78a9c66f2a3abc7f9003f7cf53a196ceb
NeedsCompilation: no
Packaged: 2026-10-08 08:27:10 UTC; root
Author: Samet Sokel [aut, cre] (ORCID: <https://orcid.org/0000-0002-4429-5125>),
  Yavuz Acar [aut, rev]