Predict retention times using a FastRet Model

Predict retention times for new data using a FastRet Model (FRM).

Usage

# S3 method for class 'frm'
predict(object = train_frm(), df = object$df, adjust = NULL, verbose = 0, ...)

object: An object of class frm as returned by train_frm().
df: A data.frame with the same columns as the training data.
adjust: If object was adjusted using adjust_frm(), it will contain a property object$adj. If adjust is TRUE, object$adj will be used to adjust predictions obtained from object$model. If FALSE object$adj will be ignored. If NULL, object$model will be used, if available.
verbose: A logical value indicating whether to print progress messages.
...: Not used. Required to match the generic signature of predict().

A numeric vector with the predicted retention times.

frm <- read_rp_lasso_model_rds()
newdata <- head(RP)
yhat <- predict(frm, newdata)