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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.

Versions across snapshots

VersionRepositoryFileSize
0.1.0 rolling linux/jammy R-4.5 XLS_0.1.0.tar.gz 20.5 KiB
0.1.0 rolling linux/noble R-4.5 XLS_0.1.0.tar.gz 20.5 KiB
0.1.0 rolling source/ R- XLS_0.1.0.tar.gz 3.9 KiB
0.1.0 latest linux/jammy R-4.5 XLS_0.1.0.tar.gz 20.5 KiB
0.1.0 latest linux/noble R-4.5 XLS_0.1.0.tar.gz 20.5 KiB
0.1.0 latest source/ R- XLS_0.1.0.tar.gz 3.9 KiB
0.1.0 2026-04-26 source/ R- XLS_0.1.0.tar.gz 3.9 KiB
0.1.0 2026-04-23 source/ R- XLS_0.1.0.tar.gz 3.9 KiB
0.1.0 2026-04-09 windows/windows R-4.5 XLS_0.1.0.zip 23.0 KiB
0.1.0 2025-04-20 source/ R- XLS_0.1.0.tar.gz 3.9 KiB

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