Hello,
Below is my code:
> A <- matrix(rnorm(10*3),ncol=3)
> b <- runif(10)
> reg <- lm(b ~ A)
> A1 <- matrix(rnorm(5*3),ncol=3)
> A1 <- as.data.frame(A1)
> b1 <- predict(reg,A1)
Warning message:
'newdata' had 5 rows but variables found have 10 rows
And instead of being an array of length 5, b1 is of length 10 and is
identical to reg$fitted.values
I think that it should not be like this.
Let me note that for lm I do not care about this as much since I can use
reg$coefficients, but unfortunately this behaviour is "inherited" by other
methods. When I am trying to fit a regression tree, predicting from the object
without using 'predict' method is less trivial.
Thank you,Moshe.
P.S. just in case:> sessionInfo()
R version 3.6.2 (2019-12-12)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Linux Mint 19.1
Matrix products: default
BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.7.1
LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.7.1
locale:
[1] C
attached base packages:
[1] stats graphics grDevices utils datasets methods base
loaded via a namespace (and not attached):
[1] compiler_3.6.2 tools_3.6.2
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