This is an approach to creating an embedded version of XLisp-Stat which can be dynamically loaded into other applications. Specifically, we create an interface between R and XLisp which allows XLisp to be loaded into R as a regular package. Currently, this works on Unix. Work will be needed to configure the changes to XLisp for other platforms. Similarly, event loop integration will be needed for the different platforms. Fortunately, I am currently investigating a general framework for this for R. To install this software, you will need to apply the necessary changes to XLisp-Stat and build that as a shared library. The new files are located in the xlisp/ directory. There is a script in the xlisp/ directory that does this for you. It can be invoked simply as setenv XLISP_SRC_DIR cd xlisp/ ./install This script can be automatically invoked via the configuration of the R package using setenv XLISP_SRC_DIR R CMD INSTALL --configure-args='--with-build-xlisp-dll' RXLisp What the script does is simply copy the modified versions of the XLisp files to the top-level XLisp source directory and then run the commands cd configure make libxlisp.so To do this using the install script in the xlisp/ directory, you must specify the location of the XLisp-Stat source by setting the environment variable XLISP_SRC_DIR. Having built the library, the R package can be built. To run R and load this package, you will need to make libxlisp.so available to the system's dynamic loader. You can do this by installing libxlisp.so in a directory the system searches and re-running /sbin/ldconfig to rebuild the cache of available shared libraries. Alternatively, one can include the directory containing the shared library in the LD_LIBRARY_PATH environment variable.