Computes statisticsl limits for orthogonal and score distances (x-decomposition) and orthogonal distance (y-decomposition) based on calibration set and assign the calculated values as model properties.
# S3 method for pls
setDistanceLimits(
obj,
lim.type = obj$lim.type,
alpha = obj$alpha,
gamma = obj$gamma,
...
)Object models with the three fields updated.
object with PLS model
type of limits ("jm", "chisq", "ddmoments", "ddrobust")
significance level for detection of extreme objects
significance level for detection of outliers (for data driven approach)
other arguments
The limits can be accessed as fields of model objects: $Qlim, $T2lim, and
$Zlim. Each is a matrix with four rows and ncomp columns. In case of limits
for x-decomposition, first row contains critical limits for extremes, second row - for outliers,
third row contains mean value for corresponding distances (or its robust estimate in case of
lim.type = "ddrobust") and last row contains the degrees of freedom.