predict.combitwice: Predict GMDH Twice-Multilayered Combinatorial

In GMDHreg: Regression using GMDH Algorithms

Description

Calculates GMDH Twice-Multilayered Combinatorial model predictions for new data.

Usage

## S3 method for class 'combitwice'
predict(object, newdata, ...)

Arguments

object	an object of class 'combitwice'
newdata	matrix containing dependent variables in the model, wich the predictions are calculated.
...	other undocumented arguments

Value

A matrix with predictions.

Examples

set.seed(123)
x <- matrix(data = c(rnorm(1050)), ncol = 3, nrow = 350)
colnames(x) <- c("a", "b", "c")
y <- matrix(data = c(10 + x[, "a"] + x[, "b"]^2 + x[, "c"]^3), ncol = 1)
colnames(y) <- "y"
x.test <- x[1:10, ]
y.test <- y[1:10]
x <- x[-c(1:10), ]
y <- y[-c(1:10)]

mod <- gmdh.combi.twice(X = x, y = y, criteria = "PRESS")
pred <- predict(mod, x.test)
summary(sqrt((pred - y.test)^2))

GMDHreg documentation built on July 5, 2021, 5:09 p.m.