Depending on the interval
argument of
predict_adjust
:
A vector of predictions if interval = "none"
.
A matrix of predictions and bounds with column names
fit
, lwr
, and upr
if
interval
is set. For type = "terms"
this
is a matrix with a column per term and may have an
attribute "constant"
.
If se.fit
is TRUE
, a
list with the following components is returned:
fit
: vector or matrix as above
se.fit
: standard error of predicted means
residual.scale
: residual standard deviations
df
: degrees of freedom for residual