[R] PLSR: model notation and reliabilities

[Bjørn-Helge Mevik]

I.Ioannou writes:

> I have a model with 2 latent constructs (D1 and D2)
> each one made by 3 indicators (D1a, D1b, D1c etc).
> Also I have 2 moderating indicators (factors, m1, m2).
> The response (Y) is also a latent construct, with 3 
> indicators (Y1,Y2,Y3).

[...]

It seems to me that what you are looking for, is some sort of
structured equation models (à la Lisrel).  The pls package implements
partial least squares regression and principal component regression,
which is something different.  I quess you could still use plsr for the
"outer model" (path model), but you would have to build the "inner
model" (the constructs) with other tools, such as prcomp/princomp or
other factor analyses (see e.g. ?factanal and ?varimax).

Alternatively, there is an R package "sem" that implements structured
equation models.  You might want to take a look at that.

-- 
Bjørn-Helge Mevik