On Mon, Aug 29, 2005 at 08:08:53AM +0200, Bj?rn-Helge Mevik wrote:
It seems to me that what you are looking for, is some sort of
structured equation models (? la Lisrel). The pls package implements
partial least squares regression and principal component regression,
which is something
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
On Sat, Aug 27, 2005 at 04:04:13AM +0300, I.Ioannou wrote:
I'm new in both R and statistics. I did my homework,
but apparently it was not enough :-(
I took a look inside the code of the *pls.fit functions
and at least now I know where I got it wrong.
So, I'm rephrasing my question :
I
I'm new in both R and statistics. I did my homework,
I tried the archives and whatever I managed to get
from the sources, but still I need assistance with
the plsr package.
I have a model with 2 core determinants D1 and D2,
made by 3 indicators each (D1a,D1b,D1c and so on).
Also I have 2
