1 | predict.linmod(object, newdata = NULL, ...)
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object |
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newdata |
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... |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | ##---- Should be DIRECTLY executable !! ----
##-- ==> Define data, use random,
##-- or do help(data=index) for the standard data sets.
## The function is currently defined as
function (object, newdata = NULL, ...)
{
if (is.null(newdata))
y <- fitted(object)
else {
if (!is.null(object$formula)) {
x <- model.matrix(object$formula, newdata)
}
else {
x <- newdata
}
y <- as.vector(x %*% coef(object))
}
y
}
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