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XLS  

A Modeling Approach that Optimizes Future Errors in Least Squares
View on CRAN: Click here


Download and install XLS package within the R console
Install from CRAN:
install.packages("XLS")

Install from Github:
library("remotes")
install_github("cran/XLS")

Install by package version:
library("remotes")
install_version("XLS", "0.1.0")



Attach the package and use:
library("XLS")
Maintained by
Samet Sokel
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-03-01
Latest Update: 2022-03-10
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.
How to cite:
Samet Sokel (2022). XLS: A Modeling Approach that Optimizes Future Errors in Least Squares. R package version 0.1.0, https://cran.r-project.org/web/packages/XLS. Accessed 25 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:29), 0.0.9 (2022-03-01 10:00)
Other packages that cited XLS R package
View XLS citation profile
Other R packages that XLS depends, imports, suggests or enhances
Complete documentation for XLS
Functions, R codes and Examples using the XLS R package
Some associated functions: xls.fit . xlsjfun . xls.prep . 
Some associated R codes: xls.fit.R . xlsjfun.R . xls.prep.R .  Full XLS package functions and examples
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