diff --git a/vignettes/mo_costs.Rmd b/vignettes/mo_costs.Rmd
index b6816d8..53d0435 100644
--- a/vignettes/mo_costs.Rmd
+++ b/vignettes/mo_costs.Rmd
@@ -47,6 +47,44 @@ finalize3D()
 rglwidget()
 ```
 
+**Between planes**
+
+The coefficient are generated between two planes in the range $[a,b]$.
+
+```{r, eval=TRUE}
+range <- matrix(c(1,100, 1, 100, 1, 100), ncol = 2, byrow = TRUE )
+center <- rowMeans(range)
+planeU <- c(rep(1, 3), -1.2*sum(rowMeans(range)))
+planeL <- c(rep(1, 3), -0.6*sum(rowMeans(range)))
+pts <- genSample(3, 1000, range = range, planes = TRUE,
+   argsPlanes = list(center = center, planeU = planeU, planeL = planeL))
+ini3D(argsPlot3d = list(box = TRUE, axes = TRUE))
+plotPoints3D(pts)
+rgl::planes3d(planeL[1], planeL[2], planeL[3], planeL[4], alpha = 0.5)
+rgl::planes3d(planeU[1], planeU[2], planeU[3], planeU[4], alpha = 0.5)
+finalize3D()
+rglwidget(reuse = F)
+```
+
+
+**Sphere**
+
+The coefficients are generated on the lower part of a sphere (see next picture). Note that the sphere is adjusted such that the coefficients are in the range $[a,b]$, i.e. the sphere is not necessarily included in $[a,b]^p$.
+
+```{r, eval=T}
+cent <- c(1000,1000,1000)
+r <- 750
+planeC <- c(cent-r/3)
+planeC <- c(planeC, -sum(planeC^2))
+pts <- genSample(3, 500,
+  argsSphere = list(center = cent, radius = r, below = NULL, plane = planeC, factor = 6))
+ini3D()
+plotPoints3D(pts)
+spheres3d(cent, radius=r, color = "grey100", alpha=0.1)
+finalize3D()
+rglwidget(reuse = F)
+```
+
 **Sphere down**
 
 The coefficients are generated on the lower part of a sphere (see next picture). Note that the sphere is adjusted such that the coefficients are in the range $[a,b]$, i.e. the sphere is not necessarily included in $[a,b]^p$.
diff --git a/vignettes/mo_shapes.Rmd b/vignettes/mo_shapes.Rmd
index 34f5c04..1d27486 100644
--- a/vignettes/mo_shapes.Rmd
+++ b/vignettes/mo_shapes.Rmd
@@ -48,32 +48,32 @@ We define the sets $\mathbb{R}_{>} = \{ z\in \mathbb{R} \mid z > 0\}$, $\mathbb{
 ```{r}
 rgl::mfrow3d(nr = 1, nc = 3, sharedMouse = TRUE)
 ## Set R^3_>=
-ini3D(argsPlot3d = list(xlim = c(-5, 100), ylim = c(-5, 100), zlim = c(-5, 100)))
+ini3D(clear = FALSE, new = FALSE, argsPlot3d = list(xlim = c(-5, 100), ylim = c(-5, 100), zlim = c(-5, 100)))
 plotCones3D(c(0,0,0), drawPoint = F, argsPolygon3d = list(alpha=0.8))
 title3d(main = "R_>=")
 finalize3D()
 next3d()
 ## Set R^3_>-
-ini3D(clear = FALSE, argsPlot3d = list(xlim = c(-5, 100), ylim = c(-5, 100), zlim = c(-5, 100)))
+ini3D(clear = FALSE, new = FALSE, argsPlot3d = list(xlim = c(-5, 100), ylim = c(-5, 100), zlim = c(-5, 100)))
 plotCones3D(c(0,0,0), drawPoint = F, argsPolygon3d = list(alpha=0.8))
 rgl::spheres3d(0,0,0, radius = 2, alpha = 0.8, col="gray80")
 title3d(main = "R_>-")
 finalize3D()
 next3d()
 ## Set R^3_>
-ini3D(clear = FALSE, argsPlot3d = list(xlim = c(-5, 100), ylim = c(-5, 100), zlim = c(-5, 100)))
+ini3D(clear = FALSE, new = FALSE, argsPlot3d = list(xlim = c(-5, 100), ylim = c(-5, 100), zlim = c(-5, 100)))
 plotCones3D(c(0,0,0), drawPoint = F, argsPolygon3d = list(alpha=0.3, color = "red"))
 title3d(main = "R_>")
 finalize3D()
 rglwidget()
-close3d()
+# close3d()
 ```
 
 The non-dominated set (red points are non-dominated and black dominated): 
 
 ```{r nd points}
 library(gMOIP)
-pts <- genNDSet(3, 100, keep = TRUE, dubND = FALSE)
+pts <- genNDSet(3, 20, keep = TRUE, dubND = FALSE)
 ini3D()
 plotPoints3D(pts[!pts$nd,1:3])
 plotPoints3D(pts[pts$nd,1:3], argsPlot3d = list(col = "red"))
@@ -104,10 +104,10 @@ Note the area between the hull and the cones is the search area where further no
 Another example with more unsupported points:
 
 ```{r}
-pts1 <- genNDSet(3, 100, keep = T, argsSphere = list(below = F))
+pts1 <- genNDSet(3, 10, keep = T, argsSphere = list(below = F))
 lim1 <- as.data.frame(apply(pts1, 2, function(x) c(min(x)-5, max(x)+5)))
 ini3D(argsPlot3d = list(xlim = lim1$z1, ylim = lim1$z2, zlim = lim1$z3))
-plotPoints3D(pts1[!pts1$nd, 1:3])
+# plotPoints3D(pts1[!pts1$nd, 1:3])
 plotHull3D(
   pts1[pts1$nd, 1:3],
   addRays = T,
@@ -125,7 +125,7 @@ rglwidget()
 We may also plot reverse dominance cones:
 
 ```{r}
-pts2 <- genNDSet(3, 50, range = c(1,20), dubND = FALSE)
+pts2 <- genNDSet(3, 10, range = c(1,20), dubND = FALSE)
 lim2 <- as.data.frame(apply(pts2, 2, function(x) c(min(x)-5, max(x)+5)))
 ini3D(argsPlot3d = list(xlim = lim2$z1, ylim = lim2$z2, zlim = lim2$z3))
 plotCones3D(
diff --git a/vignettes/tri-objective.Rmd b/vignettes/tri-objective.Rmd
index 69c558c..e7163d0 100644
--- a/vignettes/tri-objective.Rmd
+++ b/vignettes/tri-objective.Rmd
@@ -48,7 +48,7 @@ The criterion space can be plotted for tri-objective models. An example with man
 view <- matrix( c(0.333316594362259, 0.938472270965576, -0.0903875231742859, 0, 0.83994072675705, -0.339126199483871, -0.423665106296539, 0, -0.428250730037689, 0.0652943551540375, -0.901297807693481, 0, 0, 0, 0, 1), nc = 4)
 loadView(v = view)
 set.seed(1234)
-pts <- genNDSet(3, 100, argsSphere = list(below = FALSE), dubND = FALSE)
+pts <- genNDSet(3, 20, argsSphere = list(below = FALSE), dubND = FALSE)
 pts <- classifyNDSet(pts[,1:3])
 head(pts)
 ini3D(argsPlot3d = list(xlim = c(min(pts[,1])-2,max(pts[,1])+2),
@@ -66,7 +66,7 @@ Example with many supported:
 
 ```{r, webgl=TRUE, cache=FALSE}
 loadView(v = view)
-pts <- genNDSet(3, 50, argsSphere = list(below = TRUE), dubND = FALSE)
+pts <- genNDSet(3, 10, argsSphere = list(below = TRUE), dubND = FALSE)
 pts <- classifyNDSet(pts[,1:3])
 ini3D(argsPlot3d = list(xlim = c(min(pts[,1])-2,max(pts[,1])+2),
    ylim = c(min(pts[,2])-2,max(pts[,2])+2),
@@ -102,7 +102,7 @@ rglwidget(reuse = F)
 
 
 ```{r}
-pts <- genNDSet(3,50, dubND = FALSE)[,1:3]
+pts <- genNDSet(3,20, dubND = FALSE)[,1:3]
 open3d()
 ini3D(argsPlot3d = list(xlim = c(0,max(pts$z1)+2),
   ylim = c(0,max(pts$z2)+2),