Need help exporting IPS, LLC and Hadri unit root test to word document

[David KK Botchway]

Hello everyone,
How do i export Panel stationarity test using IPS, llc and Hadri to Microsoft Word?

xtunitroot llc rgdpe

xtunitroot ht rgdpe

xtunitroot ips rgdpe

How do i do same for all the variables simultaneously?

My data looks like this.

* Example generated by -dataex-. To install: ssc install dataex
clear
input float id str34 country int year float(rgdpe rgdpo emp)
1 "Albania" 2000  15180.88 16633.271  .9629675
1 "Albania" 2001 15890.313 17293.777  .9811863
1 "Albania" 2002 16402.629 17619.768  .9891093
1 "Albania" 2003 17446.412 18275.127 1.0022215
1 "Albania" 2004 18536.969 18750.121 1.0112946
1 "Albania" 2005 19540.924 20162.416 1.0133836
1 "Albania" 2006 21242.184 21773.834 1.0150568
1 "Albania" 2007 23032.057  23260.23 1.0144715
1 "Albania" 2008     25183  25868.79   .966534
1 "Albania" 2009  26975.96   27709.9  .9005824
1 "Albania" 2010 29490.846 31021.064  .8908184
1 "Albania" 2011 29684.385 31369.516  .9031976
1 "Albania" 2012 30473.086  32366.19   .929196
1 "Albania" 2013 29908.676  30914.69  .8825573
1 "Albania" 2014  31027.82 32090.506  .8857065
1 "Albania" 2015 32037.936  33659.42  .9263953
1 "Albania" 2016 32285.193 33697.977  .9888083
1 "Albania" 2017 33842.156 34974.945 1.0351139
1 "Albania" 2018 35248.367  35363.47 1.0710635
1 "Albania" 2019  35890.02 36103.043 1.0758977
2 "Algeria" 2000  340480.3    301252  6.347883
2 "Algeria" 2001  327748.6 303689.44  6.703431
2 "Algeria" 2002  333605.3  314770.2  7.000722
2 "Algeria" 2003  366316.6  343126.7  6.771677
2 "Algeria" 2004  384903.7  360710.1  7.888161
2 "Algeria" 2005  445061.8    409619    8.1337
2 "Algeria" 2006  491438.5  451620.2   8.96328
2 "Algeria" 2007  487421.8  467829.1  8.670748
2 "Algeria" 2008  519181.6  501294.8  9.211457
2 "Algeria" 2009  449139.1  460958.7  9.528019
2 "Algeria" 2010  515663.8 532781.75  9.781852
2 "Algeria" 2011  567679.8  569128.3  9.639682
2 "Algeria" 2012 548019.44  559592.4 10.215665
2 "Algeria" 2013  521018.5    544573 10.846487
2 "Algeria" 2014    513785 537308.06 10.309516
2 "Algeria" 2015  469844.9  497077.3  10.68682
2 "Algeria" 2016  451280.2  480720.7 10.983887
2 "Algeria" 2017  452337.3    472188 10.931056
2 "Algeria" 2018  481165.9  497182.2  11.09362
2 "Algeria" 2019  488952.4  507487.6 11.273454
3 "Angola"  2000  40896.88  36538.81  9.063555
3 "Angola"  2001  40838.36  39557.39  9.396174
3 "Angola"  2002  46391.69  44386.86   9.70118
3 "Angola"  2003  48488.31  48612.58  9.990836
3 "Angola"  2004  57571.04   58740.8  10.27946
3 "Angola"  2005  71963.18  79999.52  10.61961
3 "Angola"  2006  91456.08 106584.09 11.005292
3 "Angola"  2007 100577.35 121459.45 11.414647
3 "Angola"  2008 120543.34 150207.28 11.842316
3 "Angola"  2009  99539.36 115505.34 12.269172
3 "Angola"  2010 140742.28 159625.23 11.977833
3 "Angola"  2011  185480.8 201857.66 12.688628
3 "Angola"  2012 204876.36 229563.23  13.12169
3 "Angola"  2013  215438.6  242490.3 13.565423
3 "Angola"  2014  232251.2 254874.67 14.039274
3 "Angola"  2015  216207.1  224712.6 14.529098
3 "Angola"  2016  211653.8 218670.64  15.02834
3 "Angola"  2017 223326.73 230151.34 15.544552
3 "Angola"  2018 239713.13 233805.06 16.078331
3 "Angola"  2019    228151  227855.7 16.644962
end

Thank you in advance