Hi Guys, sorry for the uninformative title.

Basically If folk remember I am wanting to do some PLS regression on some
data. Folk on this list were kind enough to point me in the direction of
how to do this and I seem to have hit a really simple error which has
gorund me to a halt. So any chance of a shove in the right direction
basically

plsr takes ("response ~ data") as formula I have data imported as a
dataframe, this was imporrted from CSV with no header so my column names
are V1 to V83

I can force a PLSR by doing ("V83 ~ V1+V2+v3.....+v82") but i would rather
have this in the form of ("response ~ data") (because i'm going to do some
PLR predictions on generated data sets later)

So I want to name V83 responseACC and V1:V82 dataACC so that my plsr
equation can be ("responseACC  ~ dataACC")

I have tried various solutions to this the closest I get is listed below
but for some reason it doesn't want to do what I think it should do.

when I print r.names I get V83 called err V83 and dataACC called
dataACC.V1....dataACC.V82 which is really confusing; and probably where
the fault lies.

Can I do this?

If I can't do this then, I tried doing...
r.names(accFASdf) = r.c(
"V1","V2","V3","V4","V5","V6","V7","V8","V9","V10","V11","V12","","V13","V14","V15","V16","V17","V18","V19","V20","V21","V22","V23","V24","","V25","V26","V27","V28","V29","V30","V31","V32","V33","V34","V35","V36","","V37","V38","V39","V40","V41","V42","V43","V44","V45","V46","V47","V48","","V49","V50","V51","V52","V53","V54","V55","V56","V57","V58","V59","V60","","V61","V62","V63","V64","V65","V66","V67","V68","V69","V70","V71","V72","","V73","V74","V75","V76","V77","V78","V79","V80","V81","V82"
)

to name the column names of my generated dataframe accFASdf the same as I
get on import of my training set but that gives me the error

SyntaxError: can't assign to function call

Thanks in advance for any help

Chris

import rpy
from rpy import *

from UserString import MutableString



r.library('pls')
# need to change the conversion mode here so mod keeps it's R-nature:
rpy.set_default_mode(rpy.NO_CONVERSION)

dataPLS1=r.read_csv('acc-with-values.csv', header = 0, sep = ',',
quote='\"', dec=".", fill = 1)


dataPLS = r.as_data_frame({'dataACC': dataPLS1[1:81],'responseACC':
dataPLS1[82]})
r.print_(r.names(dataPLS))



mod=r.plsr(r("responseACC ~ dataACC"),ncomp=10,data=dataPLS,validation="CV")

Error: responseACC not found


mod=r.plsr(r("V83 ~ dataACC"),ncomp=10,data=dataPLS,validation="CV")

Error: dataACC not found



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