Predict from senlm model fit using x values in newdata, or actual x values.
# S3 method for senlm
predict(object, newdata, ...)
Model fit.
x values to predict y values from. Optional, data values used by default.
additional optional arguments.
Vector of predicted y values.
if (FALSE) {
## Real data
model <- set_models(mean_fun="gaussian", err_dist=c("zip"))
fit <- senlm(model=model, data=haul, xvar="depth", yvar="Sebastolobus.altivelis")
}