news tweak

NEWS.md

@@ -178,7 +178,7 @@ unit = "s")
 
 9. `data.table::update.dev.pkg()` now unloads the `data.table` namespace to alleviate a DLL lock issue on Windows, [#4403](https://github.com/Rdatatable/data.table/issues/4403). Thanks to @drag5 for reporting.
 
-10. `data.table` packages binaries built by R version `3.*.*` should only be installed in R `3.*.*`, and similarly `data.table` package binaries built by R `4.*.*` should only be installed in R `4.*.*`. Otherwise, `package ‘data.table’ was built under R version...` warning will occur and this should not be ignored. This is due to a very welcome change to `rbind` and `cbind` in R `4.0.0` which enabled us to remove workarounds, see news item in v1.12.6 below in this file. To continue to support both R `3.*.*` and R `4.*.*`, though, `data.table`'s NAMESPACE file contains a conditional on the R major version (3 or 4) and this is what gives rise to the requirement that the major version used to build `data.table` must match the major version used to install it. Thanks to @vinhdizzo for reporting, [#4528](https://github.com/Rdatatable/data.table/issues/4528).
+10. `data.table` packages binaries built by R version 3 (R3) should only be installed in R3, and similarly `data.table` package binaries built by R4 should only be installed in R4. Otherwise, `package ‘data.table’ was built under R version...` warning will occur which should not be ignored. This is due to a very welcome change to `rbind` and `cbind` in R 4.0.0 which enabled us to remove workarounds, see news item in v1.12.6 below in this file. To continue to support both R3 and R4, `data.table`'s NAMESPACE file contains a condition on the R major version (3 or 4) and this is what gives rise to the requirement that the major version used to build `data.table` must match the major version used to install it. Thanks to @vinhdizzo for reporting, [#4528](https://github.com/Rdatatable/data.table/issues/4528).
 
 11. Internal function `shallow()` no longer makes a deep copy of secondary indices. This eliminates a relatively small time and memory overhead when indices are present that added up significantly when performing many operations, such as joins, in a loop or when joining in `j` by group, [#4311](https://github.com/Rdatatable/data.table/issues/4311). Many thanks to @renkun-ken for the report, and @tlapak for the investigation and PR.