BESTmcmc analysis

HI,

I am running BESTmcmc analysis, comparing historical data with new sample data. I am getting the following error when I run the analysis

"> BESTout_c <- BESTmcmc(y1c, y2c)
Waiting for parallel processing to complete...Error in checkForRemoteErrors(val) :
3 nodes produced errors; first error: Error in node tau[2]
Invalid parent values"

code:
historical.data <- read.csv('Historical Data Noise.csv', header = TRUE) #this stores the data into a data frame

sample.data <- read.csv('New data Noise.csv', header = TRUE) #this stores the data into a data frame

y1c <- historical.data$Mode.1.ROI

y2c <- sample.data$Mode.1.ROI

library(BEST) #referencing the package
library(coda) #referencing the package

BESTout_c <- BESTmcmc(y1c, y2c)
plot(BESTout_c)
dev.copy(png,'Mode 1 ROI.png')
dev.off()

sample data
Mode 1 ROI
16.6
16.6

Historical data
Mode 1 ROI
16.04557906
16.28266111
16.27007349
16.14579144
16.41702255
15.88470323
16.34662798
15.96718947
15.98161187
16.13498957
16.03397461
16.21846706
16.11131643
16.41201045
16.17529908
16.1655652
16.36141975
16.00008682
16.05189364
16.31396996
16.22115732
16.14644634
16.13551868
16.26743135
16.0776965
16.1970353
16.02150294
15.99388228
15.90325627
16.14573423
16.40142737
16.11622799
16.2084587
16.12141062
16.65545541
16.04397739
16.20841365
16.31338581
16.20918671
16.18743026
16.52611767
16.06172008
16.1060353
16.17489312
16.45160307
16.04269824
16.28008552
16.32821545
16.21008746
16.20451641
16.19944325
16.27846862
16.0549005
16.36040515
16.64715727
15.99702185
16.33337748
16.20508589
16.49794623
16.38210834
15.90914776
16.21518832
16.61381671
16.65291299
16.1541766
15.98651482
16.49987198
16.39946484
16.4279002
16.38060282
16.3757944
15.93949176
16.21478575
16.17741834
16.01948273
16.25801095
16.51982899
16.10515281
16.2176486
16.61999392
16.32103184
16.86626406
16.65654454
16.27278589
16.54736273
16.59525855
16.36962532

data is saved as .csv files to read the files in r studio

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