A gpls object, typically obtained from a call to
gpls
newdata
New data, for which predictions are desired.
...
Other arguments to be passed on
Value
A list of length two:
class
The predicted classes; one for each row of newdata.
predicted
The estimated predictors.
Details
The prediction method is straight forward. The estimated coefficients
from object are used, together with the new data to produce
predicted values. These are then split, according to whether the
predicted values is larger or smaller than 0.5 and predictions
returned.
The code is similar to that in glpls1a.train.test.error
except that in that function both the test and train matrices are
centered and scaled (the covariates) by the same values (those from
the test data set).