diff --git a/.portsignore b/.portsignore
index 07f71cfbb482..8e1a0764abb2 100644
--- a/.portsignore
+++ b/.portsignore
@@ -2157,6 +2157,7 @@ finance/R-cran-AER
 finance/R-cran-fBasics
 finance/R-cran-fGarch
 finance/R-cran-gmm
+finance/R-cran-lmtest
 finance/R-cran-PerformanceAnalytics
 finance/R-cran-plm
 finance/R-cran-tseries
diff --git a/finance/Makefile b/finance/Makefile
index d6f19161d214..7899f5ec6f57 100644
--- a/finance/Makefile
+++ b/finance/Makefile
@@ -2,7 +2,6 @@
 
     SUBDIR += R-cran-RFinanceYJ
     SUBDIR += R-cran-TTR
-    SUBDIR += R-cran-lmtest
     SUBDIR += R-cran-quantmod
     SUBDIR += R-cran-strucchange
     SUBDIR += R-cran-timeDate
diff --git a/finance/R-cran-lmtest/Makefile b/finance/R-cran-lmtest/Makefile
deleted file mode 100644
index 72e800e25614..000000000000
--- a/finance/R-cran-lmtest/Makefile
+++ /dev/null
@@ -1,19 +0,0 @@
-PORTNAME=	lmtest
-DISTVERSION=	0.9-40
-PORTREVISION=	1
-CATEGORIES=	finance
-DISTNAME=	${PORTNAME}_${DISTVERSION}
-
-MAINTAINER=	wen@FreeBSD.org
-COMMENT=	Testing Linear Regression Models
-WWW=		https://cran.r-project.org/web/packages/lmtest/
-
-LICENSE=	GPLv2
-
-RUN_DEPENDS=	R-cran-zoo>=0:math/R-cran-zoo \
-		R-cran-strucchange>0:finance/R-cran-strucchange \
-		R-cran-sandwich>=2.2.4:math/R-cran-sandwich
-
-USES=		cran:auto-plist,compiles
-
-.include <bsd.port.mk>
diff --git a/finance/R-cran-lmtest/distinfo b/finance/R-cran-lmtest/distinfo
deleted file mode 100644
index 05895c9a75f1..000000000000
--- a/finance/R-cran-lmtest/distinfo
+++ /dev/null
@@ -1,3 +0,0 @@
-TIMESTAMP = 1649900875
-SHA256 (lmtest_0.9-40.tar.gz) = 64400d4d6cc635316531042971f1783539686e9015c76f5741c07304fa14d997
-SIZE (lmtest_0.9-40.tar.gz) = 230313
diff --git a/finance/R-cran-lmtest/pkg-descr b/finance/R-cran-lmtest/pkg-descr
deleted file mode 100644
index 50ccf871eec7..000000000000
--- a/finance/R-cran-lmtest/pkg-descr
+++ /dev/null
@@ -1,3 +0,0 @@
-A collection of tests, data sets, and examples for diagnostic
-checking in linear regression models. Furthermore, some generic
-tools for inference in parametric models are provided.