A matrix of fitted values.
The number of columns in the
returned matrix equals the number of responses in the original call to polymars.
Arguments
object
object of the class polymars, typically the result of polymars.
x
the predictor values at which the fitted values will be computed. The
predictor values can be in a number of formats. It can take the form of a
vector of length equal to the number of predictors in the original data set
or it can be shortened to the length of only those predictors that occur in
the model, in the same order as they appear in the original data set.
Similarly, x can take the form of a matrix with the number of columns equal to
the number of predictors in the original data set, or shortened to the
number of predictors in the model.
classify
if the original call to polymars was for a classification problem and you would
like the classifications (class predictions), set this option equal to TRUE. Otherwise the
function returns a response column for each class (the highest values in each
row is its class for the case when classify = TRUE).
intercept
Setting intercept equal to FALSE evaluates the object without intercept. The
intercept may also be given any numerical value which overrides the fitted
coefficient from the object. The defualt is TRUE.
...
other arguments are ignored.
Author
Martin O'Connor.
References
Charles Kooperberg, Smarajit Bose, and Charles J. Stone (1997).
Polychotomous regression. Journal of the American Statistical
Association, 92, 117--127.
Charles J. Stone, Mark Hansen, Charles Kooperberg, and Young K. Truong.
The use of polynomial splines and their tensor products in extended
linear modeling (with discussion) (1997). Annals of Statistics,
25, 1371--1470.