DESCRIPTION

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