Simplex regression Error infinite values in 'x'

I'm trying to build a simplex regression with the command simplexreg(), from the omonimous package. I receive back the error "Error in svd(w) : missing or infinite values in 'x' ". I also tried to put just the target feature and another randomic feature but i keep having the same error.

I already checked for the target values, it have values between (0,1), same goes for the x values.

Its my first time opening a topic here, sorry if my english its not reaaly understandable or im missing some crucial information.)

Can you provide part of your df using dput(head(yourdf, 20)) and the code you used?

1 Like
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    p_l_before_tax__2015 = c(0.443485103092904, 0.439065468989262, 
    0.439421956967787, 0.44571073164099, 0.436260241164799), 
    added_value__2019 = c(0.0139554038796158, 0.00451993253823901, 
    0.00469962628541116, 0.0379062918736312, 0.00583410854482793
    ), added_value__2018 = c(0.0299808452231827, 0.0175629283385693, 
    0.0179183609558458, 0.0514255357904002, 0.0177102631058041
    ), added_value__2017 = c(0.0191323716457338, 0.00701389400317274, 
    0.00740551368211785, 0.0381050882768567, 0.00841209932002158
    ), added_value__2016 = c(0.0445280970282415, 0.036330831973937, 
    0.0369358660881256, 0.0641622609017284, 0.0377815339866545
    ), added_value__2015 = c(0.00750104926968675, 0.0040066943940796, 
    0.00455940016339715, 0.0152606191197047, 0.00437963635977676
    ), p_l_for_period_net_income__2019 = c(0.276585923164964, 
    0.276203201693415, 0.276084669883953, 0.293648268594347, 
    0.280099388551831), p_l_for_period_net_income__2018 = c(0.220268117028442, 
    0.21469616775208, 0.214711743149432, 0.224388836941361, 0.214704850207625
    ), p_l_for_period_net_income__2017 = c(0.286975604140942, 
    0.282599400033395, 0.282596413882519, 0.292780823639913, 
    0.285734787353482), p_l_for_period_net_income__2016 = c(0.559556128530041, 
    0.561250432480095, 0.561483532324678, 0.566539487478409, 
    0.562254632404991), p_l_for_period_net_income__2015 = c(0.540493957756934, 
    0.53632109656522, 0.536648246183953, 0.538880204048856, 0.53488606410689
    ), depreciation_2019 = c(0.00941984206695106, 0.0042089001530582, 
    0.00481407801396427, 0.0161799362957658, 0.00529482100576829
    ), depreciation_2018 = c(0.0295762414710021, 0.0206407043766209, 
    0.0210225602932284, 0.036126766333328, 0.0210206250405168
    ), depreciation_2017 = c(0.0288290909935928, 0.0195825160706763, 
    0.0199436563225978, 0.0354168317678176, 0.0195181968965214
    ), depreciation_2016 = c(0.0343285947430856, 0.0253207071129779, 
    0.0256877588215268, 0.0397337703305043, 0.0252080473730814
    ), depreciation_2015 = c(0.0260269325700121, 0.0183257005916294, 
    0.0185093772319233, 0.0318466418089394, 0.0180723287606419
    ), atp_tot = c(1e-04, 1e-04, 1e-04, 0.79704058, 0.77774444
    ), type_OTHER_INSTITUTIONS_GUO_X1 = c(1e-04, 1e-04, 1e-04, 
    1e-04, 1e-04), type_OWN_GUO_X1 = c(0.9999, 0.9999, 1e-04, 
    0.9999, 0.9999), country_iso_code_aggregation_EU_X1 = c(0.9999, 
    0.9999, 0.9999, 0.9999, 0.9999), country_iso_code_aggregation_EUROPEAN_NON_EU_X1 = c(1e-04, 
    1e-04, 1e-04, 1e-04, 1e-04), country_iso_code_aggregation_OTHER_X1 = c(1e-04, 
    1e-04, 1e-04, 1e-04, 1e-04), standardised_legal_form_Non_profit_X1 = c(1e-04, 
    1e-04, 1e-04, 1e-04, 1e-04), standardised_legal_form_Other_forms_X1 = c(1e-04, 
    1e-04, 1e-04, 1e-04, 1e-04), standardised_legal_form_Partnerships_X1 = c(1e-04, 
    1e-04, 1e-04, 1e-04, 1e-04), standardised_legal_form_Private_companies_X1 = c(1e-04, 
    1e-04, 1e-04, 1e-04, 1e-04), standardised_legal_form_Public_companies_X1 = c(0.9999, 
    0.9999, 0.9999, 0.9999, 0.9999), nace_rev_2_macroarea_ACCOMMODATION_AND_FOOD_SERVICE_ACTIVITIES_X1 = c(1e-04, 
    1e-04, 1e-04, 1e-04, 1e-04), nace_rev_2_macroarea_CONSTRUCTION_X1 = c(1e-04, 
    1e-04, 1e-04, 1e-04, 1e-04), nace_rev_2_macroarea_ENERGY_WATER_WASTE_X1 = c(1e-04, 
    1e-04, 1e-04, 1e-04, 1e-04), nace_rev_2_macroarea_FINANCIAL_INSURANCE_REAL_ESTATE_X1 = c(1e-04, 
    1e-04, 0.9999, 1e-04, 0.9999), nace_rev_2_macroarea_HUMAN_HEALTH_AND_SOCIAL_WORK_ACTIVITIES_X1 = c(1e-04, 
    1e-04, 1e-04, 1e-04, 1e-04), nace_rev_2_macroarea_INFORMATION_COMMUNICATION_AND_ARTS_X1 = c(1e-04, 
    0.9999, 1e-04, 1e-04, 1e-04), nace_rev_2_macroarea_MANUFACTURING_X1 = c(0.9999, 
    1e-04, 1e-04, 0.9999, 1e-04), nace_rev_2_macroarea_OTHER_SERVICE_ACTIVITIES_X1 = c(1e-04, 
    1e-04, 1e-04, 1e-04, 1e-04), nace_rev_2_macroarea_PROFESSIONAL_SCIENTIFIC_AND_TECHNICAL_ACTIVITIES_X1 = c(1e-04, 
    1e-04, 1e-04, 1e-04, 1e-04), nace_rev_2_macroarea_PUBBLIC_AND_PRIVATE_ADMINISTRATION_AND_EDUCATION_X1 = c(1e-04, 
    1e-04, 1e-04, 1e-04, 1e-04), nace_rev_2_macroarea_TRANSPORTATION_AND_STORAGE_X1 = c(1e-04, 
    1e-04, 1e-04, 1e-04, 1e-04), nace_rev_2_macroarea_WHOLESALE_AND_RETAIL_TRADE_X1 = c(1e-04, 
    1e-04, 1e-04, 1e-04, 1e-04), type_OTHER_COMPANY_GUO_X1 = c(1e-04, 
    1e-04, 0.9999, 1e-04, 1e-04)), row.names = c(NA, 5L), class = "data.frame")

modedit as per :

This package doesnt seem to be listed on CRAN; have you spelt it correctly ? is it a publicly available package?

Yes, the function is simplexreg(), anche the package is still simplexreg