Make Predictions Based on the Fitted OHPL Model
Make predictions on new data by an OHPL model object.
## S3 method for class 'OHPL' predict(object, newx, ncomp = NULL, type = "response", ...)
object |
An object of class |
newx |
Predictor matrix of the new data. |
ncomp |
Optimal number of components.
If is |
type |
Prediction type. |
... |
Additional parameters. |
Numeric matrix of the predicted values.
# generate simulation data dat <- OHPL.sim( n = 100, p = 100, rho = 0.8, coef = rep(1, 10), snr = 3, p.train = 0.5, seed = 1010 ) # split training and test set x <- dat$x.tr y <- dat$y.tr x.test <- dat$x.te y.test <- dat$y.te # fit the OHPL model fit <- OHPL(x, y, maxcomp = 3, gamma = 0.5, G = 10, type = "max") # make predictions y.pred <- predict(fit, x.test) y.pred
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