mlr
Purpose
Multiple Linear Regression for multivariate Y.
Synopsis
model = mlr(x,y,options)
pred = mlr(x,model,options)
valid = mlr(x,y,model,options)
Description
MLR identifies models of the form Xb = y + e.
INPUTS:
y =
X-block: predictor block (2-way array or DataSet Object)
y = Y-block: predictor block
(2-way array or DataSet Object)
OUTPUTS:
model = scalar, estimate of filtered data.
pred = structure array with predictions
valid = structure array with predictions
Options
options = a structure
array with the following fields.
display: [ {'off'} | 'on'] Governs
screen display to command line.
plots: [ 'none' | {'final'} ]
governs level of plotting.
preprocessing: { [] [] } preprocessing structure
(see PREPROCESS).
blockdetails: [ 'compact' | {'standard'} |
'all' ] Extent of predictions and raw residuals included in model. 'standard'
= only y-block, 'all' x and y blocks
See Also
analysis, crossval, modelstruct, pcr, pls, preprocess, ridge
