Predict {car}  R Documentation 
Predict
is a generic function with, at present, a single method for "lm"
objects,
Predict.lm
, which is a modification of the standard predict.lm
method in
the stats package, but with an additional vcov.
argument for a userspecified covariance matrix for intreval estimation.
Predict(object, ...) ## S3 method for class 'lm' Predict(object, newdata, se.fit = FALSE, scale = NULL, df = Inf, interval = c("none", "confidence", "prediction"), level = 0.95, type = c("response", "terms"), terms = NULL, na.action = na.pass, pred.var = res.var/weights, weights = 1, vcov., ...)
object 
a model object for which predictions are desired. 
newdata, se.fit, scale, df, interval, level, type, terms, na.action, pred.var, weights 
see 
vcov. 
optional, either a function to compute the coefficient covariance matrix of

... 
arguments to pass down to 
If there is no appropriate method for Predict
, then a predict
method
is invoked. If there is a specific predict
method for the primary class of object
but
only an inherited Predict
method, then the predict
method is invoked.
Thus an object of class c("glm", "lm")
will invoke method predict.glm
rather than
Predict.lm
, but an object of class c("aov", "lm")
will invoke Predict.lm
rather than predict.lm
.
See predict
and predict.lm
.
John Fox jfox@mcmaster.ca
Fox, J. and Weisberg, S. (2019) An R Companion to Applied Regression, Third Edition, Sage.
mod < lm(interlocks ~ log(assets), data=Ornstein) newd < data.frame(assets=exp(4:12)) (p1 < predict(mod, newd, interval="prediction")) p2 < Predict(mod, newd, interval="prediction", vcov.=vcov) all.equal(p1, p2) # the same (predict(mod, newd, se=TRUE)) (p3 < Predict(mod, newd, se=TRUE, vcov.=hccm)) # larger SEs p4 < Predict(mod, newd, se=TRUE, vcov.=hccm(mod, type="hc3")) all.equal(p3, p4) # the same