Predict from an lqs Fit

Predict from an resistant regression fitted by lqs.

# S3 method for lqs
predict(object, newdata, na.action = na.pass, ...)

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. If newdata is missing, an attempt will be made to retrieve the data used to fit the lqs object.
na.action	function determining what should be done with missing values in newdata. The default is to predict NA.
...	arguments to be passed from or to other methods.

Value

A vector of predictions.

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.

See also

lqs

Examples

set.seed(123)
fm <- lqs(stack.loss ~ ., data = stackloss, method = "S", nsamp = "exact")
predict(fm, stackloss)
#>         1         2         3         4         5         6         7         8 
#> 35.500000 35.579646 30.409292 19.477876 18.592920 19.035398 19.000000 19.000000 
#>         9        10        11        12        13        14        15        16 
#> 15.734513 14.079646 13.362832 13.000000 13.920354 13.486726  6.761062  7.000000 
#>        17        18        19        20        21 
#>  8.557522  8.000000  8.362832 13.154867 23.991150