ftsa (version 3.2)

residuals.fm: Compute residuals from a functional model

Description

After fitting a functional model, it is useful to inspect the residuals. This function extracts the relevant information from the fit object and puts it in a form suitable for plotting with image, persp, contour, filled.contour, etc.

Usage

## S3 method for class 'fm':
residuals(object, ...)

Value

Produces an object of class fmres containing the residuals from the model.

References

B. Erbas and R. J. Hyndman and D. M. Gertig (2007) "Forecasting age-specific breast cancer mortality using functional data model", Statistics in Medicine, 26(2), 458-470. R. J. Hyndman and M. S. Ullah (2007) "Robust forecasting of mortality and fertility rates: A functional data approach", Computational Statistics & Data Analysis, 51(10), 4942-4956. R. J. Hyndman and H. Booth (2008) "Stochastic population forecasts using functional data models for mortality, fertility and migration", International Journal of Forecasting, 24(3), 323-342.

See Also

ftsm, forecast.ftsm, summary.fm, plot.fm, plot.fmres

Examples

plot(residuals(object = ftsm(ElNino)), xlab = "Year", ylab = "Month")
plot(residuals(object = fplsr(ElNino)), xlab = "Year", ylab = "Month")