RMSE.L: Lower boundary root-mean-square error

In PROMiDAT/RSDA: R to Symbolic Data Analysis

Lower boundary root-mean-square error

Description

Compute the lower boundary root-mean-square error.

Usage

RMSE.L(ref, pred)

Arguments

ref	Variable that was predicted.
pred	The prediction given by the model.

Value

The lower boundary root-mean-square error.

Author(s)

Oldemar Rodriguez Rojas.

References

LIMA-NETO, E.A., DE CARVALHO, F.A.T., (2008). Centre and range method to fitting a linear regression model on symbolic interval data. Computational Statistics and Data Analysis 52, 1500-1515.

LIMA-NETO, E.A., DE CARVALHO, F.A.T., (2010). Constrained linear regression models for symbolic interval-valued variables. Computational Statistics and Data Analysis 54, 333-347.

See Also

sym.glm

PROMiDAT/RSDA documentation built on Sept. 14, 2023, 9:16 p.m.