Prediction of values based on model objects.
I have this data set: x <- c(0, 40, 80, 120, 160, 200) y <- c(6.52, 5.10, 4.43, 3.99, 3.75, 3.60) I calculated a linear model using lm(): …
r lm predictI use the tutorial code from https://github.com/tensorflow/tensorflow/blob/r1.3/tensorflow/examples/learn/wide_n_deep_tutorial.…
tensorflow classification predictI have a linear model: mod=lm(weight~age, data=f2) I would like to input an age value and …
r linear-regression predictI'd like to ask for help with the predict function. I want to get a fitting line to my data …
r predict model-fittingI’m a newbie to R, and I’m having trouble with an R predict command. I receive this error …
r predictI am trying to predict call volume for a call center based on various other factors. I have a fairly …
python scikit-learn linear-regression predictI'm trying to calculate predicted probabilities using specific values, but R shows the following error: Error in model.frame.default(…
r predict multinomialI've got some coefficients for a logit model set by a non-r user. I'd like to import those coefficients into …
r glm predictI'm generating an Arima model with an external regressor. Let's suppose I have n observations. The predict.Arima function from …
r forecasting predict