XLS: A Modeling Approach that Optimizes Future Errors in Least Squares

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.

Version: 0.1.0
Imports: mpoly
Suggests: rmarkdown, knitr
Published: 2022-03-10
Author: Samet Sokel ORCID iD [aut, cre], Yavuz Acar [aut, rev]
Maintainer: Samet Sokel <a_s at eskisehir.edu.tr>
BugReports: https://github.com/sametsoekel/eXtreme-Least-Squares/issues
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: XLS results


Reference manual: XLS.pdf


Package source: XLS_0.1.0.tar.gz
Windows binaries: r-devel: XLS_0.1.0.zip, r-release: XLS_0.1.0.zip, r-oldrel: XLS_0.1.0.zip
macOS binaries: r-release (arm64): XLS_0.1.0.tgz, r-oldrel (arm64): XLS_0.1.0.tgz, r-release (x86_64): XLS_0.1.0.tgz, r-oldrel (x86_64): XLS_0.1.0.tgz
Old sources: XLS archive


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