Method lowess

Description

LOWESS smoother based on locally-weighted polynomial regression for objects of class FLSR-class. The model fitted is of the form rec(x)~ssb(x).

Generic function

lowess(x, y, f=2/3, iter=3, delta=0.01 * diff(range(xy$x[o])))

Methods

signature(x=FLSR,y=missing) :

lowessb(x, y, f=2/3, iter=3, delta=0.01 * diff(range(ssb(x))))

Author(s)

The FLR Team

See Also

lowess

Examples

# use the North Sea herring SR dataset
data(nsher)

# fitting a rec ~ ssb lowess
nsher <- lowess(nsher)

summary(nsher)

## Not run: 
plot(nsher)
## End(Not run)