I'm trying to clip a catalog using lidR (v2.0.1) package. I've tried with `lasclipCircle` and `lasclip`. It gives me the error: no point in ROI, but when I'm viewing the shapefile using `mapview` (I've exported the X and Y coordinates from this shapefile) and the catalog, they are at the same place. 

Here's my code.

    page1 <- catalog("O:/LiDAR/NB_LiDAR_16/page1")
    Buffer_16 <- readOGR(dsn = "O:/2018_Regen/Derived GIS", layer = "Buffer_16")
    X_16 <- Buffer_16@data[["DDLONG"]]
    Y_16 <- Buffer_16@data[["DDLAT"]]
    page1_points <- lasclipCircle(page1, xcenter = X_16,ycenter = Y_16, radius = 10)

or

    page1_points <- lasclip(page1, Buffer_16)

I get the following error:

> Error : No point found for within region of interest 2.

I got the same message for ROI 1 and all the other ROI as well.

Summary of `Buffer_16`

    Object of class SpatialPolygonsDataFrame
    Coordinates:
          min     max
    x 2457220 2613228
    y 7490508 7662516
    Is projected: TRUE 
    proj4string :
    [+init=epsg:2953 +proj=sterea +lat_0=46.5 +lon_0=-66.5 +k=0.999912 +x_0=2500000 +y_0=7500000 +ellps=GRS80
    +towgs84=0,0,0,0,0,0,0 +units=m +no_defs]
    Data attributes:
        OBJECTID         MAPNO         PLOTID          X             Y           DDLAT           DDLONG       SCHEDULE
     Min.   : 62.0   4721   : 11   23239  :  1   2541224: 11   7600512:  9   Min.   :46.41   Min.   :-67.07   1:179   
     1st Qu.:257.5   4921   : 11   26157  :  1   2539224: 10   7554512:  8   1st Qu.:47.09   1st Qu.:-66.46           
     Median :454.0   5230   : 10   26159  :  1   2543224:  9   7604512:  8   Median :47.35   Median :-66.14           
     Mean   :415.1   4425   :  9   26160  :  1   2505224:  8   7646512:  8   Mean   :47.34   Mean   :-66.12           
     3rd Qu.:578.5   4714   :  9   26369  :  1   2501224:  7   7602512:  7   3rd Qu.:47.61   3rd Qu.:-65.88           
     Max.   :790.0   5523   :  9   26370  :  1   2507224:  7   7648512:  7   Max.   :47.96   Max.   :-65.00           
                     (Other):120   (Other):173   (Other):127   (Other):132                                            
     ISPSP     OBJECTID_1   objectid_2 PHOTO_YEAR  LABEL     NUMBERING   Shape_Leng       Shape_Area       
     0:131   Min.   :5    Min.   :2    2016:179   2016:179   0:179     Min.   :749732   Min.   :1.876e+10  
     1: 48   1st Qu.:5    1st Qu.:2                                    1st Qu.:749732   1st Qu.:1.876e+10  
             Median :5    Median :2                                    Median :749732   Median :1.876e+10  
             Mean   :5    Mean   :2                                    Mean   :749732   Mean   :1.876e+10  
             3rd Qu.:5    3rd Qu.:2                                    3rd Qu.:749732   3rd Qu.:1.876e+10  
             Max.   :5    Max.   :2                                    Max.   :749732   Max.   :1.876e+10`
    
Summary of `page1`:

    class       : LAScatalog
    extent      : 2457000 , 2590000 , 7542000 , 7647000 (xmin, xmax, ymin, ymax)
    coord. ref. : +init=epsg:2953 +proj=sterea +lat_0=46.5 +lon_0=-66.5 +k=0.999912 +x_0=2500000 +y_0=7500000 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs 
    area        : 43 km²
    points      : 844.56 million points
    density     : 19.6 points/m²
    num. files  : 43 
    Summary of the processing options:
      - Catalog will be processed by file respecting the original tiling pattern
      - Catalog will be processed using 1 core(s).
    Summary of the output options:
      - Outputs will be returned in R objects.
    Summary of the input options:
      - readLAS will be called with the following select option: * 
      - readLAS will be called with the following filter option:    `