The function takes design/model information as input and performs initial computations for prediction and testing.
x_Obj(D, model)
A list containing a regressor matrix for each model term
The model coded as a matrix
degrees of freedom for error
same as input
as D
, but with Type II* adjusted model terms.
Will be used for testing.
as D
, but with OM-adjusted
model terms. This is a non-overparameterised representation of the model.
Will be used for prediction.
degrees of freedom according to
D_om
degrees of freedom according to D_test
output from linregEst
where D_om
is response and
where D
is regressor
as above
as above
output from linregStart
where D_om
is regressor
as above
as above
model term names
See the source code of ffmanova
to see how D
and model
are created.