rosa: Response Oriented Sequential Alternation

In khliland/rosa:

Description

Response Oriented Sequential Alternation

Usage

rosa(formula, ncomp, Y.add, common.comp = 1, data, subset, na.action,
  scale = FALSE, weights = NULL, validation = c("none", "CV", "LOO"),
  fixed.block = NULL, design.block = NULL, canonical = TRUE, ...)

Arguments

formula	Model formula accepting a single response (block) and predictor block names separated by + signs.
ncomp	The maximum number of ROSA components.
Y.add	Optional response(s) available in the data set.
common.comp	Automatically create all combinations of common components up to length common.comp (default = 1).
data	The data set to analyse.
subset	Expression for subsetting the data before modelling.
na.action	How to handle NAs (no action implemented).
scale	Optionally scale predictor variables by their individual standard deviations.
weights	Optional object weights.
validation	Optional cross-validation strategy "CV" or "LOO".
fixed.block	integer vector with block numbers for each component (0 = not fixed) or list of length <= ncomp (element length 0 = not fixed).
design.block	integer vector containing block numbers of design blocks
canonical	logical indicating if canonical correlation should be use when calculating loading weights (default), enabling B/W maximization, common components, etc. Alternatively (FALSE) a PLS2 strategy, e.g. for spectra response, is used.
...	Additonal arguments for cvseg or rosa.fit

Value

An object of classes rosa and mvr having several associated printing and plotting methods.

khliland/rosa documentation built on Dec. 29, 2021, 12:25 a.m.