Predict xgboost model onto raster stack yields error

I am trying to use `xgboost` model to predict for raster data. Here is an minimal, reproducible, self-contained example
```
library(xgboost)
library(raster)

# create a RasterStack or RasterBrick with with a set of predictor layers
logo <- brick(system.file("external/rlogo.grd", package="raster"))
names(logo)

# known presence and absence points
p <- matrix(c(48, 48, 48, 53, 50, 46, 54, 70, 84, 85, 74, 84, 95, 85,
66, 42, 26, 4, 19, 17, 7, 14, 26, 29, 39, 45, 51, 56, 46, 38, 31,
22, 34, 60, 70, 73, 63, 46, 43, 28), ncol=2)
a <- matrix(c(22, 33, 64, 85, 92, 94, 59, 27, 30, 64, 60, 33, 31, 9,
99, 67, 15, 5, 4, 30, 8, 37, 42, 27, 19, 69, 60, 73, 3, 5, 21,
37, 52, 70, 74, 9, 13, 4, 17, 47), ncol=2)

# extract values for points
xy <- rbind(cbind(1, p), cbind(0, a))
v <- data.frame(cbind(pa=xy[,1], extract(logo, xy[,2:3])))

xgb <- xgboost(data = data.matrix(subset(v, select = -c(pa))), label = v$pa,
nrounds = 5)

raster::predict(model = xgb, logo)
```
It returns the following error
>Error in xgb.DMatrix(newdata, missing = missing) :
xgb.DMatrix does not support construction from list

How to get rid of this error?