%global __brp_check_rpaths %{nil}
%global packname  KRLS
%global packver   1.0-0
%global rlibdir   /usr/local/lib/R/library

Name:             R-CRAN-%{packname}
Version:          1.0.0
Release:          3%{?dist}%{?buildtag}
Summary:          Kernel-Based Regularized Least Squares

License:          GPL (>= 2)
URL:              https://cran.r-project.org/package=%{packname}
Source0:          %{url}&version=%{packver}#/%{packname}_%{packver}.tar.gz


BuildRequires:    R-devel
Requires:         R-core
BuildArch:        noarch

%description
Package implements Kernel-based Regularized Least Squares (KRLS), a
machine learning method to fit multidimensional functions y=f(x) for
regression and classification problems without relying on linearity or
additivity assumptions. KRLS finds the best fitting function by minimizing
the squared loss of a Tikhonov regularization problem, using Gaussian
kernels as radial basis functions. For further details see Hainmueller and
Hazlett (2014).

%prep
%setup -q -c -n %{packname}


%build

%install

mkdir -p %{buildroot}%{rlibdir}
%{_bindir}/R CMD INSTALL -l %{buildroot}%{rlibdir} %{packname}
test -d %{packname}/src && (cd %{packname}/src; rm -f *.o *.so)
rm -f %{buildroot}%{rlibdir}/R.css

%files
%{rlibdir}/%{packname}