Internal function to adapt generalized least squares (gls) model with more details in output.
mygls(
model,
data = sys.frame(sys.parent()),
correlation = NULL,
weights = NULL,
subset,
method = c("REML", "ML"),
na.action = na.fail,
control = list(),
verbose = FALSE
)a gls object
a formula.
a data.frame containing variables called in model, correlation, weights, subset.
a corCompSymm object. Default is NULL.
a varIdent object. Default is NULL.
an optional expression indicating which subset of the rows of data should be used in the fit. By default, all observations are included.
a character string to choose the maximization method. Default is "REML".
a function that indicates what should happen when the data contain NAs. Default is na.fail.
a list of control values. Default is an empty list.
an optional logical value. If TRUE information on the evolution of the iterative algorithm is printed. Default is FALSE.