rl_prediction

0th

Percentile

rl_prediction

generates the code to create the prediction of the linear regression model.

Usage
rl_prediction(data = "datos.prueba", model.var = "modelo.rl",
  pred.var = "prediccion.rl")
Arguments
data

the name of the test data.

model.var

the name of the variable that stores the resulting model.

pred.var

the name of the variable that stores the resulting prediction.

See Also

predict

Aliases
  • rl_prediction
Examples
# NOT RUN {
x <- rl_model('iris', 'Petal.Length', 'model_rl')
exe(x)
print(model_rl)

x <- rl_prediction('iris', 'model_rl', 'my_prediction')
exe(x)
print(my_prediction)

# }
Documentation reproduced from package regressoR, version 1.1.7, License: GPL (>= 2)

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