ftsa (version 1.2)

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

residuals.fm(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")