--- imach/src/imach.c	2022/07/22 12:04:24	1.321
+++ imach/src/imach.c	2022/07/22 12:27:48	1.322
@@ -1,6 +1,9 @@
-/* $Id: imach.c,v 1.321 2022/07/22 12:04:24 brouard Exp $
+/* $Id: imach.c,v 1.322 2022/07/22 12:27:48 brouard Exp $
   $State: Exp $
   $Log: imach.c,v $
+  Revision 1.322  2022/07/22 12:27:48  brouard
+  *  imach.c (Module): Output of Wald test in the htm file and not only in the log.
+
   Revision 1.321  2022/07/22 12:04:24  brouard
   Summary: r28
 
@@ -1203,12 +1206,12 @@ typedef struct {
 #define ODIRSEPARATOR '\\'
 #endif
 
-/* $Id: imach.c,v 1.321 2022/07/22 12:04:24 brouard Exp $ */
+/* $Id: imach.c,v 1.322 2022/07/22 12:27:48 brouard Exp $ */
 /* $State: Exp $ */
 #include "version.h"
 char version[]=__IMACH_VERSION__;
 char copyright[]="May 2022,INED-EUROREVES-Institut de longevite-Japan Society for the Promotion of Science (Grant-in-Aid for Scientific Research 25293121), Intel Software 2015-2020, Nihon University 2021-202, INED 2000-2022";
-char fullversion[]="$Revision: 1.321 $ $Date: 2022/07/22 12:04:24 $"; 
+char fullversion[]="$Revision: 1.322 $ $Date: 2022/07/22 12:27:48 $"; 
 char strstart[80];
 char optionfilext[10], optionfilefiname[FILENAMELENGTH];
 int erreur=0, nberr=0, nbwarn=0; /* Error number, number of errors number of warnings  */
@@ -12556,7 +12559,7 @@ Please run with mle=-1 to get a correct
       hesscov(matcov, hess, p, npar, delti, ftolhess, func);
       printf("Parameters and 95%% confidence intervals\n W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n And Wald-based confidence intervals plus and minus 1.96 * W .\n But be careful that parameters are highly correlated because incidence of disability is highly correlated to incidence of recovery.\n It might be better to visualize the covariance matrix. See the page 'Matrix of variance-covariance of one-step probabilities' and its graphs.\n");
       fprintf(ficlog, "Parameters, Wald tests and Wald-based confidence intervals\n W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n And Wald-based confidence intervals plus and minus 1.96 * W \n  It might be better to visualize the covariance matrix. See the page 'Matrix of variance-covariance of one-step probabilities' and its graphs.\n");
-      fprintf(fichtm, "\n<p>Parameters, Wald tests and Wald-based confidence intervals\n</br> W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n</br> And Wald-based confidence intervals plus and minus 1.96 * W \n </br> It might be better to visualize the covariance matrix. See the page 'Matrix of variance-covariance of one-step probabilities' and its graphs.\n</br>");
+      fprintf(fichtm, "\n<p>The Wald test results are output only if the maximimzation of the Likelihood is performed (mle=1)\n</br>Parameters, Wald tests and Wald-based confidence intervals\n</br> W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n</br> And Wald-based confidence intervals plus and minus 1.96 * W \n </br> It might be better to visualize the covariance matrix. See the page '<a href=\"%s\">Matrix of variance-covariance of one-step probabilities and its graphs</a>'.\n</br>",optionfilehtmcov);
       fprintf(fichtm,"\n<table style=\"text-align:center; border: 1px solid\">");
       fprintf(fichtm, "\n<tr><th>Model=</th><th>1</th><th>+ age</th>");
       if(nagesqr==1){