[R] predict.lm How to introduce new data?

[agent dunham]

Dear all, 

I've fitted a lm using 61 data (training data), and I'left 10 as test data.

Training data and test data are stored in an excell. 

training <- read.xls("C:/...../training.xls") , the same for test. That is: 
v1
v2
...
v15

When I type str(training) and str(test), both sets have the same names

The resulting model is lms <- lm(vd ~ log(v1) + fv2+ fv5+ fv7 )  -fvi means
they were turned into factors-

plms<- predict(lms, new=test ,interval="prediction")

Error at model.frame.default(Terms, newdata, na.action = na.action, xlev =
object$xlevels) : 
  length of the variables are different (found for 'fv2')
  More: Warning messages lost
'newdata' had 10 rows but variable(s) found have 61 rows 

q1: What does it mean?
q2: Do I have to change test data names, so they have the same as the
resulting lm?
q3: Do I have to do anything special because of the log transformation?
q4: Afterwards I'd like to plot it, is this way?: plot(plms)

Thanks in advance, user at host.com


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