R help - Feb 2008 - Error in model.frame.default: invalid type (list) for variable ...

I'm getting the following errors when I try to execute the glm() procedure:

If my matrix of predictors is a data.frame, R shows me this error:

Error in model.frame.default(formula = Ycentro ~ metodocentro - 1, data
metodocentro,  :
  invalid type (list) for variable 'metodocentro'

If my matrix of predictors isn't a data.frame, R shows me this one

Error in model.frame.default(formula = Ycentro ~ metodocentro - 1, data
metodocentro,  :
  'data' must be a data.frame, not a matrix or an array

I'm using this version of R:

platform       i386-pc-mingw32
arch           i386
os             mingw32
system         i386, mingw32
status
major          2
minor          6.1
year           2007
month          11
day            26
svn rev        43537
language       R
version.string R version 2.6.1 (2007-11-26)

And here are some examples of the response variable and the predictors:

Ycentro is my response  variable, it has 248 rows of 0's and 1's:
           [,1]
  [1,]    1
  [2,]    1
  [3,]    1
  [4,]    1
  [5,]    1
  [6,]    1
  [7,]    1
  [8,]    1
  [9,]    1
 [10,]    1

while metodocentro is my matrix of predictors, it has this format:

vies13 centro13x1 centro13x2 vies23 centro23x1 centro23x2
  [1,]      1  18.009066  27.414592      0    0.00000   0.000000
  [2,]      1  10.457802  15.485570      0    0.00000   0.000000
  [3,]      1  16.828764  27.652697      0    0.00000   0.000000
  [4,]      1  18.807218  40.238635      0    0.00000   0.000000
  [5,]      1  23.025113  45.918713      0    0.00000   0.000000
  [6,]      1  27.861487  30.397026      0    0.00000   0.000000
  [7,]      1  23.845959  27.193986      0    0.00000   0.000000
  [8,]      1  10.557285  31.366402      0    0.00000   0.000000
  [9,]      1  22.811078  27.074102      0    0.00000   0.000000
 [10,]      1  12.309584  44.193660      0    0.00000   0.000000


Thanks you for your patience

Diego

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I got it right now, It wasn't working because the matrix of predictors had
the same name as the dataset, so I modified the call
creating a dataset with the response and predictors and keeping the
data.frame using the same name

metodocentrod <- data.frame(metodocentro)
resultadocentro <- glm(Ycentro ~ metodocentro-1, family = binomial(link
"logit"), data=metodocentrod)

Thanks for the help, because of your e-mail I could figure this out.

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