predict.lqs
From MASS v7.3-0
by Brian Ripley
Predict from an lqs Fit
Predict from an resistant regression fitted by lqs
.
- Keywords
- models
Usage
## S3 method for class 'lqs':
predict(object, newdata, na.action = na.pass, \dots)
Arguments
- object
- object inheriting from class
"lqs"
- newdata
- matrix or data frame of cases to be predicted or, if
object
has a formula, a data frame with columns of the same names as the variables used. A vector will be interpreted as a row vector. Ifnewdata
is missing, an a - na.action
- function determining what should be done with missing
values in
newdata
. The default is to predictNA
. - ...
- arguments to be passed from or to other methods.
Details
This function is a method for the generic function
predict()
for class lqs
.
It can be invoked by calling predict(x)
for an
object x
of the appropriate class, or directly by
calling predict.lqs(x)
regardless of the
class of the object.
Missing values in newdata
are handled by returning NA
if the
linear fit cannot be evaluated. If newdata
is omitted and
the na.action
of the fit omitted cases, these will be omitted on the
prediction.
Value
- A vector of predictions.
See Also
Examples
set.seed(123)
fm <- lqs(stack.loss ~ ., data = stackloss, method = "S", nsamp = "exact")
predict(fm, stackloss)
Community examples
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