Displaying 4 results from an estimated 4 matches for "pls1".
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2011 Oct 18
1
problem in exceuting PLS
...ble=names(Data)[4:8]
dataset=NULL
dataset$X=NULL
len=length(variable)
for( i in 1:len)
{
var=variable[i]
if(i==1)
{
dataset$X=as.matrix(Data[var])
}
if(i>1)
{
dataset$X=as.matrix(cbind(dataset$X,Data[var]))
}
}
depVar="Y"
dataset$Y=as.matrix(cbind(Data[depVar]))
pls1=mvr(Y~X,data=dataset,ncomp=4)
summary(pls1)
On execution the error is
Error in get(as.character(FUN), mode = "function", envir = envir) :
object 'X6' of mode 'function' was not found
Please help me on this
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2003 Jul 23
0
pls.pcr compared to Unscrambler
...Has anybody ever tried to compare pls regression outputs from the pls.pcr R-package developped by Wehrens with outputs from the Unscrambler software developped by CAMO company ?
I find very different outputs and wonder if this comes from differences between methods/algorithms SIMPLS (pls.pcr) and PLS1 (Unscrambler).
Arnaud
*************************
Arnaud DOWKIW
Department of Primary Industries
J. Bjelke-Petersen Research Station
KINGAROY, QLD 4610
Australia
T : + 61 7 41 600 700
T : + 61 7 41 600 728 (direct)
F : + 61 7 41 600 760
**************************
********************************...
2009 Oct 01
0
Confidence intervals PLS prediction
I have switched from The Unscrambler to R for pls regression analysis and
have been able to calculate scores, coefficients, RMSEP from a large number
of PLS1 and PLS2 models. The ultimate goal is to use these models for
predicting unknown samples, which again is straight-forward with the
built-in predict() function. However, I?m struggling with prediction
uncertainty (i.e. confidence intervals) on predicted values (as an estimate
on the reliability of t...
2013 Apr 29
0
plspm error: singular matrix 'a' in 'solve'
...ks very much!
-Mitch Hunter
Early = c(0, 0, 0)
Late = c(0, 0, 0)
Weediness = c(1, 1, 0)
wd.inner = rbind(Early, Late, Weediness)
colnames(wd.inner) = rownames(wd.inner)
innerplot(wd.inner, box.size = 0.1)
wd.outer = list(2:5,6:9,10)
wd.modes = c("B", "B", "A")
wd.pls1 = plspm(md, wd.inner, wd.outer, wd.modes)
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