Description Usage Arguments Details Value Author(s) Examples
Performs group penalized partial least squares regression.
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formula |
model formula, |
scale.X |
scale |
scale.Y |
scale |
k |
number of groups. If |
group.index |
pre-defined group index for each predictor. |
group.pen |
group penalization on latent components. TRUE or FALSE. |
lambda.min |
lower bound of group penalty paramter. |
lambda.max |
upper bound of group penalty paramter. |
ncomp |
number of latent components in partial least squares. |
seed |
an integer. |
More details.
Return groupPLS
object.
ncomp.group |
indices of latent components from PLS in each group. |
latent.group |
combined latent components from PLS in each group. |
coef |
regression coefficients of latent components on responses. |
scale.X |
if scaling of X is requested. |
scale.Y |
if scaling of Y is requested. |
Xmean |
mean of each variable in X. |
Xsd |
standard deviation of each variable in X. |
Ymean |
mean of each variable in Y. |
Ysd |
standard deviation of each variable in Y. |
k |
number of groups. |
group.index |
group index for each predictor. |
group.lambda |
group penalty paramter selected by cross validation. |
call |
function call. |
Jiali Wang (jiali.wang@data61.csiro.au); Le Chang (le.chang@anu.edu.au)
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