OPLS splits a data matrix into two parts. One part
contains information orthogonal to the input vector, and the other is non-orthogonal.
Usage
OPLSR(number_components = 2, factor_name, ...)
Arguments
- number_components
(numeric, integer) The number of orthgonal components. The default is 2.
- factor_name
(character) The name of a sample-meta column to use.
- ...
Additional slots and values passed to struct_class.
Value
A OPLSR object with the following output slots:
opls_model | (list) |
filtered | (DatasetExperiment) |
orthogonal | (DatasetExperiment) |
Inheritance
A OPLSR object inherits the following struct classes:
[OPLSR] >> [model] >> [struct_class]
Examples
M = OPLSR(
number_components = 2,
factor_name = "V1")
M = OPLSR('number_components'=2,factor_name='Species')